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)
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- [Models](#models)
* [Custom validation](#custom-validation)
* [Properties](#properties)
* [Methods](#methods)
* [Testing](#testing)
- [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)
- [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.
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## Models
Lets take a look at an example model:
```python
class Course(models.Model):
name = models.CharField(unique=True, max_length=255)
start_date = models.DateField()
end_date = models.DateField()
attendable = models.BooleanField(default=True)
students = models.ManyToManyField(
Student,
through='CourseAssignment',
through_fields=('course', 'student')
)
teachers = models.ManyToManyField(
Teacher,
through='CourseAssignment',
through_fields=('course', 'teacher')
)
slug_url = models.SlugField(unique=True)
repository = models.URLField(blank=True)
video_channel = models.URLField(blank=True, null=True)
facebook_group = models.URLField(blank=True, null=True)
logo = models.ImageField(blank=True, null=True)
public = models.BooleanField(default=True)
generate_certificates_delta = models.DurationField(default=timedelta(days=15))
objects = CourseManager()
def clean(self):
if self.start_date > self.end_date:
raise ValidationError("End date cannot be before start date!")
def save(self, *args, **kwargs):
self.full_clean()
return super().save(*args, **kwargs)
@property
def visible_teachers(self):
return self.teachers.filter(course_assignments__hidden=False).select_related('profile')
@property
def duration_in_weeks(self):
weeks = rrule.rrule(
rrule.WEEKLY,
dtstart=self.start_date,
until=self.end_date
)
return weeks.count()
@property
def has_started(self):
now = get_now()
return self.start_date <= now.date()
@property
def has_finished(self):
now = get_now()
return self.end_date <= now.date()
@property
def can_generate_certificates(self):
now = get_now()
return now.date() <= self.end_date + self.generate_certificates_delta
def __str__(self) -> str:
return self.name
```
Few things to spot here.
**Custom validation:**
* There's a custom model validation, defined in `clean`. This validation uses only model fields and no relations.
* This requires someone to call `full_clean()` on the model instance. The best place to do that is in the `save()` method of the model. Otherwise people can forget to call `full_clean()` in the respective service.
**Properties:**
* All properties, expect `visible_teachers` work directly on model fields.
* `visible_teachers` is a great candidate for a **selector**.
We have few general rules for custom validations & model properties / methods:
### Custom validation
* If the custom validation depends only on the **non-relational model fields**, define it in `clean` and call `full_clean` in `save`.
* If the custom validation is more complex & **spans relationships**, do it in the service that creates the model.
* It's OK to combine both `clean` and additional validation in the `service`.
### Properties
* If your model properties use only **non-relational model fields**, they are OK to stay as properties.
* If a property, such as `visible_teachers` starts **spanning relationships**, it's better to define a selector for that.
### Methods
* If you need a method that updates several fields at once (for example - `created_at` and `created_by` when something happens), you can create a model method that does the job.
* Every model method should be wrapped in a service. There should be no model method calling outside a service.
### Testing
Models need to be tested only if there's something additional to them - like custom validation or properties.
If we are strict & don't do custom validation / properties, then we can test the models without actually writing anything to the database => we are going to get quicker tests.
Foe example, if we want to test the custom validation, here's how a test could look like:
```python
from datetime import timedelta
from django.test import TestCase
from django.core.exceptions import ValidationError
from odin.common.utils import get_now
from odin.education.factories import CourseFactory
from odin.education.models import Course
class CourseTests(TestCase):
def test_course_end_date_cannot_be_before_start_date(self):
start_date = get_now()
end_date = get_now() - timedelta(days=1)
course_data = CourseFactory.build()
course_data['start_date'] = start_date
course_data['end_date'] = end_date
course = Course(**course_data)
with self.assertRaises(ValidationError):
course.full_clean()
```
There's a lot going on in this test:
* `get_now()` returns a timezone aware datetime.
* `CourseFactory.build()` will return a dictionary with all required fields for a course to exist.
* We replace the values for `start_date` and `end_date`.
* We assert that a validation error is going to be raised if we call `full_clean`.
* We are not hitting the database at all, since there's no need for that.
## 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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## 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