Django Coding Challenge

You can complete this coding challenge by creating a python virtual environment or by creating a Dockerfile and docker-compose.yml file to run the environment.

The application is a work in progress that houses authors, articles, and associated data. Currently, a user can navigate to the following URLS to access information.

• http://localhost:8000/articles/ --> list of first 50 published articles
• http://localhost:8000/articles/<year>/ --> articles published in corresponding year
• http://localhost:8000/articles/<year>/<month>/ --> articles published in the corresponding year/month
• http://localhost:8000/articles/<pk>/ --> single view of article based on the pk (primary key)

There are open GitHub issues with user reports and feature requests that need to be addressed. Please create a pull request that addresses these issues.

Along with the open GitHub issues, some files you interact with are in dire need of refactoring because they do not adhere to the DRY principle or good desgin in general. Using class inheritance is a good approach and is strongly encouraged during this refactoring.

We have included a sqlite (db.sqlite3) database that has been prepopulated with random data. The library and code to generate this test data is provided below.

Test Data Generation Process

from faker import Faker
from authors.models import Author
from articles.models import Genre, Article

fake = Faker()

for _ in range(10000):
    Author.objects.create(
        first_name=fake.first_name(),
        last_name=fake.last_name(),
        pseudonym=fake.name(),
    )

Genre.objects.create(name='Advocacy')
Genre.objects.create(name='Ambush')
Genre.objects.create(name='Online')
Genre.objects.create(name='Trade')
Genre.objects.create(name='Political')
Genre.objects.create(name='Environmental')
Genre.objects.create(name='Fashion')
Genre.objects.create(name='Society')
Genre.objects.create(name='Community')

for _ in range(100000):
    Article.objects.create(
        title=fake.color_name() + ' ' + fake.company(),
        sub_title=fake.color(),
        genre=Genre.objects.order_by('?').first(),
        content=fake.text(),
        author=Author.objects.order_by('?').first(),
        published=fake.date_time_this_decade(),
    )

for _ in range(25000):
    article = Article.objects.order_by('?').first()
    article.published = None
    article.save()