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Leveraging Django's powerful framework, along with PostgreSQL database management system and Docker for containerization, this project provides a comprehensive platform for managing various aspects of an online store.\n\n### **Key Features:**\n\n1. **Advanced Database Design:** The project implements a complex and optimized database schema using PostgreSQL, ensuring efficient data storage and retrieval.\n\n2. **Dockerized Environment:** Docker containers are utilized to encapsulate the entire application stack, including Django, PostgreSQL, pgAdmin, Elasticsearch, Celery, Flower, and Celery Beat. This facilitates easy deployment and scalability.\n\n3. **Elasticsearch Integration:** Elasticsearch is integrated to provide fast and accurate search functionality for products, enabling users to quickly find desired items.\n\n4. **Celery for Asynchronous Task Processing:** Celery is employed for handling asynchronous tasks such as order processing, email notifications, and other background jobs, enhancing system responsiveness and scalability.\n\n5. **Admin Panel with pgAdmin:** pgAdmin is included for efficient management of the PostgreSQL database, allowing administrators to perform various database-related tasks with ease.\n\n6. **RESTful API with Swagger Documentation:** The project provides a RESTful API powered by Django REST Framework, enabling seamless integration with third-party services and client applications. Swagger API documentation ensures clear and comprehensive API reference.\n\n7. **JWT Authentication:** JSON Web Token (JWT) authentication is implemented to secure API endpoints, providing a stateless and scalable authentication mechanism.\n\n### **Models:**\n\n1. **Dashboard App**\n\n    - User (Custom User Model)\n\n2. **Inventory**\n\n    - Category\n    - Product\n    - ProductType\n    - Brand\n    - ProductAttribute\n    - ProductAttributeValue\n    - ProductInventory\n    - Media\n    - Stock\n\n3. **Promotion**\n\n    - PromotionType\n    - Coupon\n    - Promotion\n    - ProductsOnPromotion\n\n### **Database Design**\n\n\u003cimg src=\"./db_architecture_diagram.svg\" alt_text=\"db_architecture_diagram\"/\u003e\n\n### **Python Packages Used**\n\n-   Django\n-   Django Bootstrap5\n-   Django CORS Headers\n-   Django Elasticsearch\n-   Django MPTT\n-   Django REST Framework\n-   Djagno REST Framework - Simple JWT\n-   DRF - yasg (Swagger UI)\n-   Faker\n-   Pytest\n-   Celery\n-   Django Lint (djLint)\n-   Psycopg2 (psycopg2-binary)\n-   Redis\n-   Selenium\n-   WhiteNoise\n\n### **Technologies Used**\n\n-   Docker\n    -   Celery\n    -   Postgres Database\n    -   PgAdmin\n    -   Celery Beat\n    -   Flower\n\n### **Credits**\n\n-   **Very Academy**\n    -   Youtube: [Link](https://youtube.com/playlist?list=PLOLrQ9Pn6cay_cQkyg-WYYiJ_EKU8KWKh\u0026si=r46p0o9Oyjpos9a4)\n    -   GitHub: [Link](https://github.com/veryacademy/django-ecommerce-project-v2)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdatarohit%2Fdjango-ecommerce-database-design","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdatarohit%2Fdjango-ecommerce-database-design","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdatarohit%2Fdjango-ecommerce-database-design/lists"}