🚀 FastAPI + Flask Learning Project

This repository is a hands-on learning project for building RESTful APIs using FastAPI and Flask. It explores routing, data validation, database integration with SQLAlchemy, and basic user authentication with password hashing.

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📁 Table of Contents

• Project Structure
• Setup Instructions
• API Overview
• Tech Stack
• Notes

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📁 Project Structure

• blog/ - Contains the FastAPI application and related files.
• flask_app.py - The main entry point for the Flask application.
• requirements.txt - Lists the dependencies for the project.
• blog.db - SQLite database file.

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📦 Setup Instructions

1. Clone the repository:

   git clone https://github.com/your-username/mrastatine-fastapi-learning-.git
   cd mrastatine-fastapi-learning-

2. Set up a virtual environment:

   python -m venv venv
   source venv/bin/activate   # On Windows: venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

4. Run the FastAPI application:

   uvicorn blog.main:app --reload

5. Run the Flask application:

   python flask_app.py

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📘 API Overview

✅ FastAPI Endpoints

• GET / – Home route
• GET /blog – List blogs (published/unpublished via query)
• GET /blog/{id} – Retrieve blog by ID
• POST /blog – Create a blog
• PUT /blog/{id} – Update a blog
• DELETE /blog/{id} – Delete a blog
• POST /user – Create user with password hashing

✅ Flask Endpoints

• GET / – Home route
• GET /get-user/<user_id> – Get mock user data
• POST /create-user – Create mock user from request body

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🗃️ Tech Stack

• ⚡ FastAPI
• 🌐 Flask
• 🧬 SQLAlchemy (SQLite backend)
• 🛡️ Passlib + bcrypt (for password hashing)
• 📦 Pydantic (for validation)

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📌 Notes

• The FastAPI app uses a local SQLite database (blog.db).
• All blog and user data are persisted via SQLAlchemy ORM.
• Passwords are hashed before storage using bcrypt.
• Project is modular and follows basic clean code practices.