YouTube Integration Simulation

A Django project that simulates YouTube video and comment management with scheduled content generation.

Tech Stack

• Django 4.2 + Django REST Framework
• PostgreSQL
• Celery + Redis (scheduled tasks)
• Docker Compose

Setup

# Start all services (migrations run automatically)
docker compose up --build

# Create superuser (optional)
docker compose exec web uv run python manage.py createsuperuser

# Generate initial data (optional)
docker compose exec web uv run python manage.py shell -c "
from videos.tasks import generate_video, generate_comments
for _ in range(5): generate_video()
generate_comments(20)
"

Note: Migrations run automatically on startup via entrypoint.sh. Celery services wait for the web service to be healthy before starting.

API Endpoints

Endpoint	Method	Description
/api/videos/	GET	List videos (paginated)
/api/videos/	POST	Create a new video
/api/videos/{id}/	GET	Video detail
/api/videos/{id}/comments/	GET	Comments for a video (paginated)
/api/videos/{id}/comments/	POST	Add comment to video
/api/stats/	GET	Engagement statistics
/admin/	-	Django admin panel

Celery Tasks

Available tasks in videos/tasks.py:

• generate_video() - Create a simulated video
• generate_comments(count) - Generate random comments
• simulate_activity() - Simulate YouTube-like activity

Schedule tasks via Django Admin

1. Go to /admin/
2. Navigate to "Periodic Tasks"
3. Create a task pointing to videos.tasks.simulate_activity
4. Set interval (e.g., every 30 seconds)

Assumptions & Shortcuts

• Video IDs are randomly generated (11 chars like YouTube)
• Comment generation uses simple template-based logic
• No authentication required for API endpoints

Future Improvements

• Add user authentication
• Implement video view counts
• Add comment likes/replies
• Rate limiting on endpoints
• Integrate 3rd party AI services for comments generation
• Optimization
• Add SCA
• Add automated tests