
Flask & MongoDB User Management API
This project is a robust and scalable RESTful API designed for user management, built with Python's Flask framework and a NoSQL MongoDB database. It provides a complete set of endpoints for all essential CRUD (Create, Read, Update, Delete) operations, forming a solid backend foundation for any modern web application that requires user data handling. The API is containerized using Docker, ensuring consistent and reliable deployment across different environments.
Core Functionality & Technical Implementation
The application is architected with a clear separation of concerns, making it maintainable and easy to understand.
Application Entry Point & Configuration: The application is served by a production-ready WSGI server. A central configuration point initializes the Flask application and its extensions for database integration and security. This setup also establishes a robust logging system for both development and production environments. Configuration is managed securely through environment variables, a best practice for handling sensitive data.
API Endpoints: The routing logic is neatly organized within Flask Blueprints, defining all the public-facing API endpoints for user operations. This includes routes for fetching all users, creating a new user, and performing specific actions like retrieving, updating, or deleting a single user. This layer is responsible for handling incoming request data, validating it, and returning appropriate JSON responses.
Business Logic: A dedicated service layer encapsulates the core business logic and interaction with the database. It contains functions that handle the specifics of creating a user (including checking for existing emails and hashing passwords), fetching user data (while excluding sensitive information), updating records, and deleting users. This separation keeps the API routing layer clean and focused on handling HTTP requests.
Containerization: The project is fully containerized using Docker, which creates a lightweight and efficient image for the application. This setup installs all necessary dependencies and configures the environment, making the API incredibly easy to deploy, run, and scale consistently across any system.
Technologies Used
Backend: Python, Flask
Database: MongoDB (with Flask-PyMongo)
Deployment: Docker, Waitress (WSGI Server)
Security: Flask-Bcrypt for password hashing
Others: python-dotenv for environment management, Centralized Logging
This project demonstrates a strong understanding of backend development principles, including API design, database management, security best practices, and modern deployment workflows.