Airbnb Clone project is designed to provide a robust and scalable foundation for managing user interactions, property listings, bookings, and payments. It'll support various functionalities required to mimic the core features of Airbnb.
- User Management: Implement a secure system for user registration, authentication, and profile management.
- Property Management: Develop features for property listing creation, updates, and retrieval.
- Booking System: Create a booking mechanism for users to reserve properties and manage booking details.
- Payment Processing: Integrate a payment system to handle transactions and record payment details.
- Review System: Allow users to leave reviews and ratings for properties.
- Data Optimization: Ensure efficient data retrieval and storage through database optimizations.
- Django: A high-level Python web framework used for building the RESTful API.
- Django REST Framework: Provides tools for creating and managing RESTful APIs.
- PostgreSQL: A powerful relational database used for data storage.
- GraphQL: Allows for flexible and efficient querying of data.
- Celery: For handling asynchronous tasks such as sending notifications or processing payments.
- Redis: Used for caching and session management.
- Docker: Containerization tool for consistent development and deployment environments.
- CI/CD Pipelines: Automated pipelines for testing and deploying code changes.
- Backend Developer: Responsible for implementing the core of an app- its algorithms, API endpoints, database schemas, and business logic.
- Database Administrator: Manages database design, indexing, and optimizations.
- DevOps Engineer: Builds Continuous Integration and Continuous Delivery (CI/CD) pipelines for faster delivery. Also handles deployment, monitoring, and scaling of the backend services.
- QA Engineer: Ensures the backend functionalities are thoroughly tested and meet quality standards, and application performs according to requirements.
Outline of the entities of the system and how they relate to one another.
Individuals using the platform, including guests and hosts.
"Users'" Fields:
id
- Primary Keyname
email
role
(e.g host, guest, admin)password_hash
Relationships:
- A user can list multiple properties (if host).
- A user can make multiple bookings (if guest).
- A user can leave multiple reviews.
Represents the accommodations listed by hosts.
"Properties'" Fields:
id
- Primary Keydescription
location
pricePerNight
hostId
(Foreign Key → Users.id)
Relationships:
- A property is owned by one user (host).
- A property can have many bookings.
- A property can have many reviews.
Captures reservation details for properties.
"Bookings'" Fields:
id
- Primary KeypropertyId
(Foreign Key → Properties.id)userId
(Foreign Key → Users.id)date
totalPrice
Relationships:
- A booking is made by a user.
- A booking is for one property.
- A booking can have one payment.
User feedback on experience and properties.
"Reviews'" Fields:
id
- Primary KeypropertyId
(Foreign Key → Properties.id)userId
(Foreign Key → Users.id)rating
(1–5)comment
Relationships:
- A review is written by a user.
- A review belongs to one property.
Tracks payment transactions for bookings.
"Payments'" Fields:
id
- Primary KeybookingId
(Foreign Key → Bookings.id)amount
paymentMethod
paymentDate
Relationships:
- A payment belongs to one booking.
- User Management: Implement a secure system for user registration, authentication, and profile management. This enables users to create and manage their accounts on the app.
- Property Management: Develop features for property listing creation, updates, and retrieval. With this feature, potential guests can view properties listed on the sites by hosts.
- Booking System: Create a booking mechanism for users to reserve properties and manage booking details. Users, therefore, can rest assured that booked properties stay reserved for them.
- Payment Processing: Integrate a payment system to handle transactions and record payment details. This helps users to book properties conveniently.
- Review System: Allow users to leave reviews and ratings for properties. This enables potential users to make better informed decisions.
- Data Optimization: Ensure efficient data retrieval and storage through database optimizations. This improves user experience, reducing load times.
This project follows best practices for securing backend APIs, aligning with OpenAPI-supported structures (like security schemes) and industry-standard implementation techniques.
Secure token-based authentication (e.g., JWT) is used to verify users before they can interact with the API.
- Importance: Prevents unauthorized access and protects user credentials.
Role-Based Access Control (RBAC) ensures users can only access resources or perform actions appropriate to their role (e.g., host vs. guest).
- Importance: Prevents privilege escalation and ensures data integrity.
Sensitive data such as passwords are hashed (e.g., using bcrypt
), and HTTPS is enforced for all API communication.
- Importance: Protects user data during transmission and storage.
Rate limiting is applied to prevent abuse, brute-force login attempts, and denial-of-service attacks.
- Importance: Helps maintain service availability and protect accounts.
All inputs are validated and sanitized using schema definitions to prevent injection attacks (e.g., SQLi, XSS).
- Importance: Ensures backend safety from malicious or malformed data.
Payments are handled through secure third-party processors like Stripe or PayPal, following PCI-DSS compliance.
- Importance: Protects financial data and ensures transaction integrity.
Critical system events and user actions are logged for auditing and anomaly detection.
- Importance: Aids in monitoring suspicious behavior and maintaining accountability.
Internal errors are logged in detail (server-side), but error messages returned to clients are sanitized.
- Importance: Prevents attackers from learning about internal system logic while aiding debugging.
These are automated series of steps that streamline the software development life cycle through automation of processes/stages such as code testing, building, packaging, and deployment.
For this project, automated testing helps in identifying and fixing bugs early, improving software quality and stablity. Pipelines also speed up deployment process and foster better collaboration between development, testing, and operations teams.
Some tools that could be used to build CI/CD pipelines include;
- Jenkins
- GitHub Actions
- Docker
- CircleCI
- Azure DevOps
- GitLab CI