Flask-SQL Alchemy

Flask-SQL Alchemy:

Flask-SQLAlchemy is an extension for the Flask web framework that integrates SQLAlchemy, a popular Object-Relational Mapping (ORM) library, into Flask applications. It provides a convenient way to interact with databases using SQLAlchemy’s powerful features while leveraging the simplicity and flexibility of Flask.

Here are the basic steps to get started with Flask-SQLAlchemy:

1. Install Flask-SQLAlchemy: You can install Flask-SQLAlchemy using pip, the Python package installer, by running the following command:

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   pip install Flask-SQLAlchemy

2. Import Flask and create an application:

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   from flask import Flask app = Flask(__name__)

3. Configure the database connection: Flask-SQLAlchemy uses the Flask application configuration to determine the database connection details. You can set the database URI using the SQLALCHEMY_DATABASE_URI configuration option:

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   app.config['SQLALCHEMY_DATABASE_URI'] = 'database_uri'

4. Initialize the Flask-SQLAlchemy extension:

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   from flask_sqlalchemy import SQLAlchemy db = SQLAlchemy(app)

5. Define database models: SQLAlchemy uses object-oriented mapping to map database tables to Python classes. You can define your database models by creating Python classes that inherit from the db.Model class:

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   class User(db.Model): id = db.Column(db.Integer, primary_key=True) name = db.Column(db.String(50))

6. Perform database operations: With Flask-SQLAlchemy, you can use the db object to execute various database operations, such as querying, inserting, updating, and deleting records. For example, to insert a new user into the database:

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   user = User(name='John') db.session.add(user) db.session.commit()

7. Run the Flask application: After setting up the Flask-SQLAlchemy extension and defining your routes and views, you can start the Flask application using the following command:

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   flask run

These are the basic steps to use Flask-SQLAlchemy in a Flask application. However, Flask-SQLAlchemy provides many more features and options for database management, querying, and relationships. You can refer to the official Flask-SQLAlchemy documentation for more detailed information and examples: https://flask-sqlalchemy.palletsprojects.com/