• Flask backend API with SQLite database

• SQLAlchemy ORM models for User and Student

• Database management CLI commands:

  • flask db_create - create database tables
  • flask db_drop - drop all tables
  • flask db_seed - seed database with sample data

• API endpoints with URL parameters and query parameters

• JSON responses using Flask’s jsonify

• Input handling with Flask’s request

1. Clone this repository

   git clone https://github.com/manibalasinha/PythonFlask.git
   cd PythonFlask

2. (Optional but recommended) Create a virtual environment and activate it

   python -m venv venv
   # Windows
   venv\Scripts\activate
   # macOS/Linux
   source venv/bin/activate

3. Install dependencies

   pip install -r requirements.txt

1. Create the database tables

   flask db_create

2. Seed the database with sample data

   flask db_seed

3. Run the Flask app

   flask run

4. Open your browser or API client and test the endpoints:

   • GET / - Welcome message
   • GET /shorts - Simple JSON message
   • GET /not_found - 404 JSON response
   • GET /parameters?name=John&age=20 - Parameterized response
   • GET /url_variables/John/20 - URL path variables response
   • GET /students - Get all students in the database

PythonFlask/
├── app.py               # Main Flask application
├── requirements.txt     # Python dependencies
├── students.db          # SQLite database file (generated)
└── README.md            # This file

• Flask
• Flask-SQLAlchemy
• SQLAlchemy
• Marshmallow
• Flask-Marshmallow

• Database URI is set to a local SQLite file at C:\Users\manib\FlaskPython\students.db. Adjust path in app.py if needed.
• Use Flask CLI commands to manage your database easily.

This project is licensed under the MIT License.