OMDB project in Course 4 of Advanced Django specialization

A repository containing all the assignments completed from

Advanced Django: Mastering Django and Django Rest Framework Specialization:
https://www.coursera.org/specializations/codio-advanced-django-and-django-rest-framework
4. Advanced Django: External APIs and Task Queuing
https://www.coursera.org/learn/codio-advanced-django-external-apis-task-queuing?specialization=codio-advanced-django-and-django-rest-framework

The Open Movie Database is a free REST web service that can be queried to get information about movies. You’ll need an API key. One can be obtained free from https://www.omdbapi.com/apikey.aspx.

You will have to set an environment variable as follows (in the command line):
export DJANGO_OMDB_KEY=your_omdb_api_key
OR prepend it to the command like so:
DJANGO_OMDB_KEY=your_omdb_api_key python manage.py ...

Custom django commands to run queries:

Populate movie data in our local database

• python manage.py movie_search movie_titel_here
  

Updating movie details

• python manage.py movie_fill tt1853728
  
• python manage.py movie_fill movie_id_omdb

You will also need a GitHub access token, which can be obtained here:
https://github.com/settings/tokens/new

Starting celery worker:
celery -A course4_proj worker -l DEBUG

Starting Celery beat tasks that have been scheduled by calling the add_periodic_task():
celery -A course4_proj beat -l INFO

Starting Celery beat to read the schedule from the Django database (or a different schedule store):
celery -A course4_proj beat -l INFO --scheduler django_celery_beat.schedulers:DatabaseScheduler

The site is a platform where users can discuss movies. It focuses on designing models based on OMDb data. Users can comment on or read about movies. When searching for a movie, the site prioritizes its local database, only querying OMDb if necessary. Basic movie data is stored locally, and detailed data is fetched as needed. If a movie's details change, it's updated in real-time. Here's how it works: users search for a movie, the site checks its database, fetches from OMDb if needed, and displays results. If more detail is needed, it fetches it from the API.

• Connecting to external APIs
• Implement task queuing (Schedule tasks with Celery and Redis)
• Leverage various Django skills to create portfolio-quality projects
• Get and parse content from an API with the Requests library
• Use the OMDb API to fetch information about movies
• Generate a GitHub access token and integrate it with Django to query GitHub
• Implementig Celery - task queue, register celery task for asynchronous tasks
• Signals, asynchronous signals, custom signals
• Create a periodic task with Celery
• Celery Beat - Schedule tasks that run on an interval or on a specified date/time

The modules in this course cover connecting to external APIs, task queuing, and pulling together the topics across the specialization in capstone projects.

--

Skills:

• Django (Web Framework)
• Python Programming