Merge pull request #5 from HackSoftware/add-models-section

Add section about models
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Radoslav Georgiev 2018-08-19 15:22:27 +03:00 committed by GitHub
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@ -9,6 +9,11 @@ Expect often updates as we discuss & decide upon different things.
<!-- toc -->
- [Overview](#overview)
- [Models](#models)
* [Custom validation](#custom-validation)
* [Properties](#properties)
* [Methods](#methods)
* [Testing](#testing)
- [Services](#services)
- [Selectors](#selectors)
- [APIs & Serializers](#apis--serializers)
@ -42,6 +47,194 @@ Expect often updates as we discuss & decide upon different things.
* 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.
## 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.
Here's how `CourseFactory` looks like:
```python
class CourseFactory(factory.DjangoModelFactory):
name = factory.Sequence(lambda n: f'{n}{faker.word()}')
start_date = factory.LazyAttribute(
lambda _: get_now()
)
end_date = factory.LazyAttribute(
lambda _: get_now() + timedelta(days=30)
)
slug_url = factory.Sequence(lambda n: f'{n}{faker.slug()}')
repository = factory.LazyAttribute(lambda _: faker.url())
video_channel = factory.LazyAttribute(lambda _: faker.url())
facebook_group = factory.LazyAttribute(lambda _: faker.url())
class Meta:
model = Course
@classmethod
def _build(cls, model_class, *args, **kwargs):
return kwargs
@classmethod
def _create(cls, model_class, *args, **kwargs):
return create_course(**kwargs)
```
## Services
A service is a simple function that: