Backend service for an online learning platform with REST API, role-based access control and payments.
OnlineLearning is a backend service designed to manage:
- users and profiles,
- courses and lessons,
- payments history,
- role-based access (admin / moderator / user).
The project demonstrates clean REST API design, access control logic and production-ready deployment.
- Custom user model with email-based authentication
- Courses with nested lessons
- Role-based access control (RBAC)
- Payments for courses or lessons with strict validation
- Filtering and ordering of payments
- REST API ready for frontend or mobile clients
- Automated tests and CI pipeline
- Backend: Python 3.11, Django, Django REST Framework
- Database: PostgreSQL
- Auth: Token / role-based permissions
- Testing: pytest
- Quality: black, isort, flake8
- CI/CD: GitHub Actions, Docker, Docker Compose
flowchart LR
Client -->|REST| API[Django + DRF]
API --> Auth[RBAC / Permissions]
API --> Domain[Courses / Lessons]
API --> Payments
Domain --> DB[(PostgreSQL)]
Payments --> DB
👥 Roles & access The system implements three roles:
Admin — full access, user and content management
Moderator — edit courses and lessons
User — access and manage own content and payments
Access rules are enforced using custom DRF permission classes:
IsOwner
IsModerator
IsModeratorOrAdmin
📂 Project structure (simplified)
OnlineLearning/
├── config/ # Django settings & URLs
├── users/ # custom user, profiles, payments
├── lms/ # courses, lessons, API
├── tests/ # automated tests
├── deploy/ # deployment scripts
└── manage.py
📘 OpenAPI / Swagger
OpenAPI schema: /api/schema/
🎬 Demo
🧪 Testing & code quality The project includes automated tests covering:
models and business rules,
API endpoints and permissions,
filtering and ordering logic.
Run tests locally:
pytest -q CI pipeline runs tests and checks code quality on every push.
🚀 Quickstart (local)
python -m venv .venv source .venv/bin/activate # or .venv\Scripts\activate pip install -r requirements.txt
python manage.py migrate python manage.py createsuperuser python manage.py runserver 🐳 Deployment (production-ready) The project is prepared for production deployment using:
Docker & Docker Compose
GitHub Actions CI/CD
SSH-based delivery (no public registry)
Optional systemd integration
Deployment logic is documented in deploy/ and workflow files.
📌 What this project demonstrates real-world backend architecture
role-based access control
payments domain modeling
clean REST API design
production-oriented CI/CD
maintainable and testable codebase
👨💻 Author This project was built as a showcase of backend development skills with focus on architecture, access control and production readiness.