Django-Styleguide/README.md

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# Django Styleguide
Django styleguide used in [HackSoft](https://hacksoft.io) projects.
Expect often updates as we discuss & decide upon different things.
**Table of contents:**
<!-- toc -->
- [Overview](#overview)
- [Services](#services)
- [Selectors](#selectors)
- [APIs & Serializers](#apis--serializers)
* [An example list API](#an-example-list-api)
* [An example detail API](#an-example-detail-api)
* [An example create API](#an-example-create-api)
* [An example update API](#an-example-update-api)
* [Nested serializers](#nested-serializers)
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- [Exception Handling](#exception-handling)
* [Raising Exceptions in Services](#raising-exceptions-in-services)
* [Handle Exceptions in APIs](#handle-exceptions-in-apis)
- [Inspiration](#inspiration)
<!-- tocstop -->
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## 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.
## Services
A service is a simple function that:
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* Lives in `your_app/services.py` module
* Takes keyword-only arguments
* Is type-annotated (even if you are not using `mypy` at the moment)
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* 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:
```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`
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## 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.
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## 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.
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## Exception Handling
### Raising Exceptions in Services
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Now we have separation between our HTTP interface & the core logic of our application.
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In order to keep this separation of concerns, our services must not use the `rest_framework.exception` classes because they are bounded with HTTP status codes.
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Our services must use one of:
* [Python built-in exceptions](https://docs.python.org/3/library/exceptions.html)
* Exceptions from `django.core.exceptions`
* Custom exceptions, inheriting from the ones above.
Here is a good example of service that preforms some validation and raises `django.core.exceptions.ValidationError`:
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```python
from django.core.exceptions import ValidationError
def create_topic(*, name: str, course: Course) -> Topic:
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if course.end_date < timezone.now():
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raise ValidationError('You can not create topics for course that has ended.')
topic = Topic.objects.create(name=name, course=course)
return topic
```
### Handle Exceptions in APIs
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In order to transform the exceptions raised in the services to a standard HTTP response you need to catch the exception and return proper HTTP response.
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The best place to do this is in the `handle_exception` method of the `APIView`.
There you can map your exception to DRF exception.
Here is an example:
```python
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from rest_framework import exceptions as rest_exceptions
from django.core.exceptions import ValidationError
class CourseCreateApi(SomeAuthenticationMixin, APIView):
expected_exceptions = {
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ValidationError: rest_exceptions.ValidationError
}
class InputSerializer(serializers.Serializer):
...
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)
def handle_exception(self, exc):
if isinstance(exc, tuple(self.expected_exceptions.keys())):
drf_exception_class = self.expected_exceptions[exc.__class__]
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drf_exception = drf_exception_class(get_error_message(exc))
return super().handle_exception(drf_exception)
return super().handle_exception(exc)
```
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Here's the implementation of `get_error_message`:
```python
def get_first_matching_attr(obj, *attrs, default=None):
for attr in attrs:
if hasattr(obj, attr):
return getattr(obj, attr)
return default
def get_error_message(exc):
if hasattr(exc, 'message_dict'):
return exc.message_dict
error_msg = get_first_matching_attr(exc, 'message', 'messages')
if isinstance(error_msg, list):
error_msg = ', '.join(error_msg)
if error_msg is None:
error_msg = str(exc)
return error_msg
```
You can move this code to a mixin and use it in every API to prevent code duplication.
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We call this `ExceptionHandlerMixin`. Here's a sample implementation from one of our projects:
```python
from rest_framework import exceptions as rest_exceptions
from django.core.exceptions import ValidationError
from project.common.utils import get_error_message
class ExceptionHandlerMixin:
"""
Mixin that transforms Django and Python exceptions into rest_framework ones.
without the mixin, they return 500 status code which is not desired.
"""
expected_exceptions = {
ValueError: rest_exceptions.ValidationError,
ValidationError: rest_exceptions.ValidationError,
PermissionError: rest_exceptions.PermissionDenied
}
def handle_exception(self, exc):
if isinstance(exc, tuple(self.expected_exceptions.keys())):
drf_exception_class = self.expected_exceptions[exc.__class__]
drf_exception = drf_exception_class(get_error_message(exc))
return super().handle_exception(drf_exception)
return super().handle_exception(exc)
```
Having this mixin in mind, our API can be written like that:
```python
class CourseCreateApi(
SomeAuthenticationMixin,
ExceptionHandlerMixin,
APIView
):
class InputSerializer(serializers.Serializer):
...
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)
```
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All of code above can be found in `utils.py` in this repository.
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## 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