This project includes the PEP-484 compatible "type stubs" for Django APIs. Using a compliant checking tool (typically, mypy), it allows you to document and verify more of your code. Your annotated code will look like:
def vote(request: HttpRequest, question_id: str) -> HttpResponse:
question = get_object_or_404(Question, pk=question_id)
try:
selected_choice = question.choice_set.get(pk=request.POST['choice'])
except (KeyError, Choice.DoesNotExist):
return render(request, 'polls/detail.html', {'question': question})
else:
selected_choice.votes += 1
selected_choice.save()
return HttpResponseRedirect(reverse('polls:results', args=(question.id,)))
If you use incorrect annotations, like in the following example
class ResultsView(generic.DetailView):
model = Question
def get_template_names(self) -> str:
if some_condition():
return "template_a.html"
else:
return "template_b.html"
Running mypy will report the problem:
$ mypy --strict-optional -p polls
...
polls/views.py: note: In class "ResultsView":
polls/views.py:41: error: Return type of "get_template_names" incompatible with supertype "SingleObjectTemplateResponseMixin"
polls/views.py:41: error: Return type of "get_template_names" incompatible with supertype "TemplateResponseMixin"
You'll need to install mypy (other PEP-484 checkers might work, but I haven't tested them).
pip install mypy
should do the trick. There are no other requirements.
This is not a python package (no actual executable code), so this is not installed with pip
or
available in PyPI. You can just git clone
the latest version from
https://github.com/machinalis/mypy-django.git or download and unzip https://github.com/machinalis/mypy-django/archive/master.zip
Once you have your copy, set your MYPYPATH
environment variable to point to the files. For example (in Linux/bash):
$ export MYPYPATH=/home/dmoisset/mypy-django/
$ ls $MYPYPATH
django
$ ls $MYPYPATH/django
conf core http __init__.pyi urls utils views
If you don't see the above (the second line might have a few more items in your computer), check that the path exists, and that it points to the correct level in the directory tree.
We are building this as a tool at Machinalis to improve the quality of the Django projects we build for our clients. Feel free to contact me if you want to hear more about how we use it or how it can be applied. I can be found at [email protected] or at @dmoisset via Twitter.
In a more general perspective, it makes sense to use static typing for Django given the following:
- Much of the user application code for Django projects consists in operating on objects defined
by the framework. Unlike other APIs where you mostly pass around standard python data structures,
this means that you don't get much benefit from PEP-484 static typing because everything gets
annotated as
Any
(i.e. unchecked) - A large part of the framework follows a very structured, almost declarative approach where you just fill-out a structure (for example, defining models, admin options, generic views, url routers, forms, settings)
- Django already has a policy of checking types before starting serving. Many of the system checks
performed by
manage.py check
are actually type checks. So this fits very well with the framework philosophy
I reimplemented most of the standard Django tutorial with annotations, so you can see how it looks. The code (and a README with some details of problems and solutions found when annotating) are available at https://github.com/machinalis/mypy-django-example
- The current version is mainly focused on supporting Django 1.10 under python 3.x. Given that the
APIs I cover are the core components and haven't changed much, you probably can work with older
versions of Django and it might work. Python 2.x will not be supported (The code uses
str
to describe arguments/return values that can be text strings, i.e. unicode). - Many django modules that you might import are not supported yet. So you might need to silence
with
# type: ignore
some messages like:
polls/views.py:1: error: No library stub file for module 'django.db.models.query'
- It's recommended that you run mypy with the
--strict-optional
option; many of the stubs assume that you do, and you might get some warnings inside the stub files if you don't use it.
- Request and Response objects
- Including supporting classes like QueryDict and file objects
- Generic views
- URL resolver
- Other miscellaneous components required by the above (timezones, cookies, ...)
- Admin support
- django.shortcuts
- Paginators
- Querysets may have some partial support, but complex arguments (like the ones for
filter
andget
queries) orQ
andF
objects are beyond the expressive possibilities of mypy as it is now. - The template language is a separate language and can not be covered by mypy, so any type errors inside the template can not be detected by it.
BSD. See LICENSE file for details