2018-07-26 00:30:29 +03:00
# Django Styleguide
Django styleguide used in [HackSoft ](https://hacksoft.io ) 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 with `select_related` , it should better be a selector.
2018-07-26 12:07:52 +03:00
## Services
A service is a simple function that:
2018-07-26 12:29:16 +03:00
* Lives in `your_app/services.py` module
2018-07-26 12:07:52 +03:00
* Takes keyword-only arguments
* Is type-annotated (even if you are not using `mypy` at the moment)
2018-07-26 12:29:16 +03:00
* Works mostly with models & other services and selectors
2018-07-26 12:07:52 +03:00
* Does business logic - from simple model creation to complex cross-cutting concerns, to calling external services & tasks.
An example service that creates an user:
```python
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`
2018-07-26 12:29:16 +03:00
## 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:
```python
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.
2018-07-26 12:39:31 +03:00
## 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` or `GenericAPIView`
* Use services / selectors & don't do business logic in your API.
* Use serializers for fetching objects from params - passed either via `GET` or `POST`
* Serializer should be nested in the API and be named either `InputSerializer` or `OutputSerializer`
* `OutputSerializer` can subclass `ModelSerializer` , if needed.
* `InputSerializer` should always be a plain `Serializer`
* Reuse serializers as little as possible
* If you need a nested serializer, use the `inline_serializer` util
### An example list API
```python
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
```python
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
```python
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
```python
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:
```python
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.
2018-07-31 14:33:27 +03:00
## Inspiration
The way we do Django is inspired by the following things:
* The general idea for **separation of concerns**
* [Boundaries by Gary Bernhardt ](https://www.youtube.com/watch?v=yTkzNHF6rMs )
* Rails service objects