README.md | ||
utils.py |
Django Styleguide
Django styleguide used in HackSoft projects.
Expect often updates as we discuss & decide upon different things.
Overview
In Django, business logic should live in:
- Model properties (with some exceptions).
- Model
clean
method for additional validations (with some exceptions). - Services - functions, that take care of code written to the database.
- Selectors - functions, that take care of code taken from the database.
In Django, business logic should not live in:
- APIs and Views.
- Serializers and Forms.
- Form tags.
- Model
save
method.
Model properties vs selectors:
- If the model property spans multiple relations, it should better be a selector.
- If a model property, added to some list API, will cause
N + 1
problem that cannot be easily solved withselect_related
, it should better be a selector.
Services
A service is a simple function that:
- Lives in
your_app/services.py
module - Takes keyword-only arguments
- Is type-annotated (even if you are not using
mypy
at the moment) - Works mostly with models & other services and selectors
- Does business logic - from simple model creation to complex cross-cutting concerns, to calling external services & tasks.
An example service that creates an user:
def create_user(
*,
email: str,
name: str
) -> User:
user = User(email=email)
user.full_clean()
user.save()
create_profile(user=user, name=name)
send_confirmation_email(user=user)
return user
As you can see, this service calls 2 other services - create_profile
and send_confirmation_email
Selectors
A selector is a simple function that:
- Lives in
your_app/selectors.py
module - Takes keyword-only arguments
- Is type-annotated (even if you are not using
mypy
at the moment) - Works mostly with models & other services and selectors
- Does business logic around fetching data from your database
An example selector that list users from the database:
def get_users(*, fetched_by: User) -> Iterable[User]:
user_ids = get_visible_users_for(user=fetched_by)
query = Q(id__in=user_ids)
return User.objects.filter(query)
As you can see, get_visible_users_for
is another selector.
APIs & Serializers
When using services & selectors, all of your APIs should look simple & the same.
General rules for an API is:
- Do 1 API per operation. For CRUD on a model, this means 4 APIs.
- Use the most simple
APIView
orGenericAPIView
- Use services / selectors & don't do business logic in your API.
- Use serializers for fetching objects from params - passed either via
GET
orPOST
- Serializer should be nested in the API and be named either
InputSerializer
orOutputSerializer
OutputSerializer
can subclassModelSerializer
, if needed.InputSerializer
should always be a plainSerializer
- Reuse serializers as little as possible
- If you need a nested serializer, use the
inline_serializer
util
An example list API
class CourseListApi(SomeAuthenticationMixin, APIView):
class OutputSerializer(serializers.ModelSerializer):
class Meta:
model = Course
fields = ('id', 'name', 'start_date', 'end_date')
def get(self, request):
courses = get_courses()
data = self.OutputSerializer(courses, many=True)
return Response(data)
An example detail API
class CourseDetailApi(SomeAuthenticationMixin, APIView):
class OutputSerializer(serializers.ModelSerializer):
class Meta:
model = Course
fields = ('id', 'name', 'start_date', 'end_date')
def get(self, request, course_id):
course = get_course(id=course_id)
data = self.OutputSerializer(course)
return Response(data)
An example create API
class CourseCreateApi(SomeAuthenticationMixin, APIView):
class InputSerializer(serializers.Serializer):
name = serializers.CharField()
start_date = serializers.DateField()
end_date = serializers.DateField()
def post(self, request):
serializer = self.InputSerializer(data=request.data)
serializer.is_valid(raise_exception=True)
create_course(**serializer.validated_data)
return Response(status=status.HTTP_201_CREATED)
An example update API
class CourseUpdateApi(SomeAuthenticationMixin, APIView):
class InputSerializer(serializers.Serializer):
name = serializers.CharField(required=False)
start_date = serializers.DateField(required=False)
end_date = serializers.DateField(required=False)
def post(self, request, course_id):
serializer = self.InputSerializer(data=request.data)
serializer.is_valid(raise_exception=True)
update_course(course_id=course_id, **serializer.validated_data)
return Response(status=status.HTTP_200_OK)
Nested serializers
In case you need to use a nested serializer, you can do the following thing:
class Serializer(serializers.Serializer):
weeks = inline_serializer(many=True, fields={
'id': serializers.IntegerField(),
'number': serializers.IntegerField(),
})
The implementation of inline_serializer
can be found in utils.py
in this repo.
Inspiration
The way we do Django is inspired by the following things:
- The general idea for separation of concerns
- Boundaries by Gary Bernhardt
- Rails service objects