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Khamisi Kibet

Khamisi Kibet

Software Developer

I am a computer scientist, software developer, and YouTuber, as well as the developer of this website, spinncode.com. I create content to help others learn and grow in the field of software development.

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7 Months ago | 54 views

**Course Title:** Mastering Flask Framework: Building Modern Web Applications **Section Title:** Working with Databases: SQLAlchemy **Topic:** Set up a database for a Flask application, perform CRUD operations using SQLAlchemy.(Lab topic) ### Overview In this lab topic, we will set up a database for a Flask application using SQLAlchemy and perform basic CRUD (Create, Read, Update, Delete) operations on it. By the end of this lab, you will have hands-on experience with database operations using SQLAlchemy in a Flask application. ### Prerequisites Before proceeding with this lab, make sure you have completed the following topics: * Introduction to Flask and Development Environment * Routing, Views, and Templates * Working with Databases: SQLAlchemy Ensure that you have Flask, Flask-SQLAlchemy, and Flask-Migrate installed in your virtual environment. ### Step 1: Create a New Flask Application Create a new directory for your lab and create a new virtual environment using the following command: ```bash python -m venv venv ``` Activate your virtual environment and install the required packages: ```bash # Install Flask, Flask-SQLAlchemy, and Flask-Migrate pip install flask flask-SQLAlchemy flask-Migrate ``` Create a new file called `app.py` and initialize a new Flask application: ```python from flask import Flask from flask_sqlalchemy import SQLAlchemy from flask_migrate import Migrate app = Flask(__name__) # Initialize the database app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///mydatabase.db' app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False db = SQLAlchemy(app) # Initialize the migration migrate = Migrate(app, db) from . import routes, models ``` Create a new file called `models.py` to define your database models: ```python from app import db class User(db.Model): id = db.Column(db.Integer, primary_key=True) name = db.Column(db.String(50), nullable=False) email = db.Column(db.String(80), nullable=False, unique=True) def __repr__(self): return '<User %r>' % self.name def __init__(self, name, email): self.name = name self.email = email ``` ### Step 2: Create the Database Tables Run the following commands to create the database tables: ``` # Create the migration scripts flask db init # Create the tables flask db migrate -m "create tables" flask db upgrade ``` ### Step 3: Perform CRUD Operations Create a new file called `routes.py` to define routes for the CRUD operations: ```python from app import app, db from .models import User from flask import jsonify, request # Route to create a new user @app.route('/users', methods=['POST']) def create_user(): data = request.get_json() new_user = User(name=data['name'], email=data['email']) db.session.add(new_user) db.session.commit() return jsonify({'message' : 'New user created!'}) # Route to get all users @app.route('/users', methods=['GET']) def get_users(): users = User.query.all() output = [] for user in users: user_data = {'id' : user.id, 'name' : user.name, 'email' : user.email} output.append(user_data) return jsonify({'users' : output}) # Route to get one user @app.route('/users/<id>', methods=['GET']) def get_user(id): user = User.query.get(id) if user is None: return jsonify({'message' : 'User not found!'}) user_data = {'id' : user.id, 'name' : user.name, 'email' : user.email} return jsonify({'user' : user_data}) # Route to update a user @app.route('/users/<id>', methods=['PUT']) def update_user(id): user = User.query.get(id) if user is None: return jsonify({'message' : 'User not found!'}) data = request.get_json() user.name = data['name'] user.email = data['email'] db.session.commit() return jsonify({'message' : 'User updated!'}) # Route to delete a user @app.route('/users/<id>', methods=['DELETE']) def delete_user(id): user = User.query.get(id) if user is None: return jsonify({'message' : 'User not found!'}) db.session.delete(user) db.session.commit() return jsonify({'message' : 'User deleted!'}) ``` ### Step 4: Run the Flask Application Finally, run the Flask application using the following command: ```bash python app.py ``` You can now use a tool like Postman or curl to test the CRUD operations on your database. **Lab Tasks:** 1. Test the CRUD operations on your database using Postman or curl. 2. Add validation to your API endpoints to handle invalid data. 3. Implement pagination to limit the number of users returned in the GET /users endpoint. 4. Use error handling to catch and return errors that occur during database operations. 5. Expand your API to include additional endpoints and features. **Resources:** * [Flask-SQLAlchemy Documentation](https://flask-sqlalchemy.palletsprojects.com/en/2.x/) * [Flask-Migrate Documentation](https://flask-migrate.readthedocs.io/en/latest/) * [SQLAlchemy Documentation](https://www.sqlalchemy.org/library.html) After completing this lab, you will have gained hands-on experience with setting up a database for a Flask application and performing CRUD operations using SQLAlchemy. What's Next? In the next topic, we will cover implementing user registration, login, and logout using Flask-Security.
Course

Performing CRUD Operations with SQLAlchemy in Flask

**Course Title:** Mastering Flask Framework: Building Modern Web Applications **Section Title:** Working with Databases: SQLAlchemy **Topic:** Set up a database for a Flask application, perform CRUD operations using SQLAlchemy.(Lab topic) ### Overview In this lab topic, we will set up a database for a Flask application using SQLAlchemy and perform basic CRUD (Create, Read, Update, Delete) operations on it. By the end of this lab, you will have hands-on experience with database operations using SQLAlchemy in a Flask application. ### Prerequisites Before proceeding with this lab, make sure you have completed the following topics: * Introduction to Flask and Development Environment * Routing, Views, and Templates * Working with Databases: SQLAlchemy Ensure that you have Flask, Flask-SQLAlchemy, and Flask-Migrate installed in your virtual environment. ### Step 1: Create a New Flask Application Create a new directory for your lab and create a new virtual environment using the following command: ```bash python -m venv venv ``` Activate your virtual environment and install the required packages: ```bash # Install Flask, Flask-SQLAlchemy, and Flask-Migrate pip install flask flask-SQLAlchemy flask-Migrate ``` Create a new file called `app.py` and initialize a new Flask application: ```python from flask import Flask from flask_sqlalchemy import SQLAlchemy from flask_migrate import Migrate app = Flask(__name__) # Initialize the database app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///mydatabase.db' app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False db = SQLAlchemy(app) # Initialize the migration migrate = Migrate(app, db) from . import routes, models ``` Create a new file called `models.py` to define your database models: ```python from app import db class User(db.Model): id = db.Column(db.Integer, primary_key=True) name = db.Column(db.String(50), nullable=False) email = db.Column(db.String(80), nullable=False, unique=True) def __repr__(self): return '<User %r>' % self.name def __init__(self, name, email): self.name = name self.email = email ``` ### Step 2: Create the Database Tables Run the following commands to create the database tables: ``` # Create the migration scripts flask db init # Create the tables flask db migrate -m "create tables" flask db upgrade ``` ### Step 3: Perform CRUD Operations Create a new file called `routes.py` to define routes for the CRUD operations: ```python from app import app, db from .models import User from flask import jsonify, request # Route to create a new user @app.route('/users', methods=['POST']) def create_user(): data = request.get_json() new_user = User(name=data['name'], email=data['email']) db.session.add(new_user) db.session.commit() return jsonify({'message' : 'New user created!'}) # Route to get all users @app.route('/users', methods=['GET']) def get_users(): users = User.query.all() output = [] for user in users: user_data = {'id' : user.id, 'name' : user.name, 'email' : user.email} output.append(user_data) return jsonify({'users' : output}) # Route to get one user @app.route('/users/<id>', methods=['GET']) def get_user(id): user = User.query.get(id) if user is None: return jsonify({'message' : 'User not found!'}) user_data = {'id' : user.id, 'name' : user.name, 'email' : user.email} return jsonify({'user' : user_data}) # Route to update a user @app.route('/users/<id>', methods=['PUT']) def update_user(id): user = User.query.get(id) if user is None: return jsonify({'message' : 'User not found!'}) data = request.get_json() user.name = data['name'] user.email = data['email'] db.session.commit() return jsonify({'message' : 'User updated!'}) # Route to delete a user @app.route('/users/<id>', methods=['DELETE']) def delete_user(id): user = User.query.get(id) if user is None: return jsonify({'message' : 'User not found!'}) db.session.delete(user) db.session.commit() return jsonify({'message' : 'User deleted!'}) ``` ### Step 4: Run the Flask Application Finally, run the Flask application using the following command: ```bash python app.py ``` You can now use a tool like Postman or curl to test the CRUD operations on your database. **Lab Tasks:** 1. Test the CRUD operations on your database using Postman or curl. 2. Add validation to your API endpoints to handle invalid data. 3. Implement pagination to limit the number of users returned in the GET /users endpoint. 4. Use error handling to catch and return errors that occur during database operations. 5. Expand your API to include additional endpoints and features. **Resources:** * [Flask-SQLAlchemy Documentation](https://flask-sqlalchemy.palletsprojects.com/en/2.x/) * [Flask-Migrate Documentation](https://flask-migrate.readthedocs.io/en/latest/) * [SQLAlchemy Documentation](https://www.sqlalchemy.org/library.html) After completing this lab, you will have gained hands-on experience with setting up a database for a Flask application and performing CRUD operations using SQLAlchemy. What's Next? In the next topic, we will cover implementing user registration, login, and logout using Flask-Security.

Images

Mastering Flask Framework: Building Modern Web Applications

Course

Objectives

  • Understand the Flask framework and its ecosystem.
  • Build modern web applications using Flask's lightweight structure.
  • Master database operations with SQLAlchemy.
  • Develop RESTful APIs using Flask for web and mobile applications.
  • Implement best practices for security, testing, and version control in Flask projects.
  • Deploy Flask applications to cloud platforms (AWS, Heroku, etc.).
  • Utilize modern tools like Docker, Git, and CI/CD pipelines in Flask development.

Introduction to Flask and Development Environment

  • Overview of Flask and its ecosystem.
  • Setting up a Flask development environment (Python, pip, virtualenv).
  • Understanding Flask’s application structure and configuration.
  • Creating your first Flask application.
  • Lab: Set up a Flask environment and create a basic web application with routing and templates.

Routing, Views, and Templates

  • Defining routes and URL building in Flask.
  • Creating views and rendering templates with Jinja2.
  • Passing data between routes and templates.
  • Static files and assets management in Flask.
  • Lab: Build a multi-page Flask application with dynamic content using Jinja2 templating.

Working with Databases: SQLAlchemy

  • Introduction to SQLAlchemy and database management.
  • Creating and migrating databases using Flask-Migrate.
  • Understanding relationships and querying with SQLAlchemy.
  • Handling sessions and database transactions.
  • Lab: Set up a database for a Flask application, perform CRUD operations using SQLAlchemy.

User Authentication and Authorization

  • Implementing user registration, login, and logout.
  • Understanding sessions and cookies for user state management.
  • Role-based access control and securing routes.
  • Best practices for password hashing and storage.
  • Lab: Create a user authentication system with registration, login, and role-based access control.

RESTful API Development with Flask

  • Introduction to RESTful principles and API design.
  • Building APIs with Flask-RESTful.
  • Handling requests and responses (JSON, XML).
  • API authentication with token-based systems.
  • Lab: Develop a RESTful API for a simple resource management application with authentication.

Forms and User Input Handling

  • Creating and validating forms with Flask-WTF.
  • Handling user input securely.
  • Implementing CSRF protection.
  • Storing user-generated content in databases.
  • Lab: Build a web form to collect user input, validate it, and store it in a database.

Testing and Debugging Flask Applications

  • Understanding the importance of testing in web development.
  • Introduction to Flask's testing tools (unittest, pytest).
  • Writing tests for views, models, and APIs.
  • Debugging techniques and using Flask Debug Toolbar.
  • Lab: Write unit tests for various components of a Flask application and debug using built-in tools.

File Uploads and Cloud Storage Integration

  • Handling file uploads in Flask.
  • Validating and processing uploaded files.
  • Integrating with cloud storage solutions (AWS S3, Google Cloud Storage).
  • Best practices for file storage and retrieval.
  • Lab: Implement a file upload feature that stores files in cloud storage (e.g., AWS S3).

Asynchronous Programming and Background Tasks

  • Introduction to asynchronous programming in Flask.
  • Using Celery for background task management.
  • Setting up message brokers (RabbitMQ, Redis).
  • Implementing real-time features with WebSockets and Flask-SocketIO.
  • Lab: Create a background task using Celery to send notifications or process data asynchronously.

Deployment Strategies and CI/CD

  • Understanding deployment options for Flask applications.
  • Deploying Flask apps to cloud platforms (Heroku, AWS, DigitalOcean).
  • Setting up continuous integration and continuous deployment pipelines.
  • Using Docker for containerization of Flask applications.
  • Lab: Deploy a Flask application to a cloud platform and set up a CI/CD pipeline with GitHub Actions.

Real-Time Applications and WebSockets

  • Understanding real-time web applications.
  • Using Flask-SocketIO for real-time communication.
  • Building chat applications or notifications systems.
  • Best practices for managing WebSocket connections.
  • Lab: Develop a real-time chat application using Flask-SocketIO.

Final Project and Advanced Topics

  • Reviewing advanced topics: performance optimization, caching strategies.
  • Scalability considerations in Flask applications.
  • Best practices for code organization and architecture.
  • Final project presentations and feedback session.
  • Lab: Start working on the final project that integrates all learned concepts into a comprehensive Flask application.

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