Lerndatenbank/app.py

from flask import Flask, render_template, request, jsonify
from flask_sqlalchemy import SQLAlchemy

# Importing db from models to ensure it exists and is initialized properly
from models import db

# Function to initialize the database with the app context
def initialize_db(app):
    # Push the application context to make it available within this function
    app.app_context().push()
    # Initialize the SQLAlchemy database with the Flask app configuration
    db.init_app(app)
    # Create all tables defined in the models (if they don't already exist)
    db.create_all()
    # Commit any changes to the database session
    db.session.commit()

# Function to create and configure the Flask application
def create_app():
    # Create a new Flask application instance with the name of the current module (__name__)
    app = Flask(__name__)
    
    # Configure the SQLAlchemy database URI for SQLite, using 'learn.db' as the file location
    app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///learn.db'
    # Disable tracking modifications of objects in the session to improve performance
    app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False

    # Call the initialize_db function with the newly created Flask app instance
    initialize_db(app)

    return app

# Entry point for running the Flask application when this script is executed directly
if __name__ == '__main__':
    # Create and run the Flask application instance with debugging enabled
    app = create_app()
    app.run(debug=True)