Grocery Store

• A Flask-based multi-user e-commerce app facilitates grocery shopping with efficient product management.

Features and functions

• CRUD operations for sections and products via the API.
• Multi-user authentication: Admin and user login and sign-up.
• Inventory and product management: Admin can add, edit, and delete products and sections
• Streamlined processing: Users can search for sections and purchase products from one or multiple categories.
• Summary Generation: A summary page visually presents statistics through pie charts and bar charts for products and orders.

Technologies used

• Flask: A micro web framework used for building the backend of the application.
• Flask-RESTful: An extension for creating RESTful APIs to manage product and section data.
• Flask-SQLAlchemy: An Object-Relational Mapping (ORM) tool that facilitates database interaction and seamless integration with Flask.
• Flask-Login: An extension enabling user authentication and session management.
• SQLite: A relational database utilized for storing product, section, and order data.
• matplotlib: A library used for generating charts and graphs within the application.
• HTML, Jinja2 templates, Bootstrap: Frontend technologies employed for designing the user interface.

How to run

• Clone this repo using git clone or download it as a zip folder
• Open terminal inside the folder
• Install dependencies: pip install -r requirements.txt
• Run the app:flask --app main run or python main.py

Once the app is started we can click on the url generated where the server is running.

API Design

The API was designed using Flask-RESTful. The following endpoints were created:

• /api/sections: GET and POST methods for retrieving all sections and adding a new section.
• /api/sections/int:section_id: GET, PUT, and DELETE methods to access, update, and delete a specific section by ID.
• /api/products: GET and POST methods for retrieving all products and adding a new product.
• /api/products/int:product_id: GET, PUT, and DELETE methods for accessing, updating, and deleting a specific product by ID.

Architecture and Features

• The project follows the MVC (Model-View-Controller) pattern The controllers are defined in the api.py(API endpoints) and routes.py(views) files.
• The models.py file contains the database models using SQLAlchemy.
• The templates folder contains the HTML templates for rendering the frontend. The static folder stores static assets like images.

Video