Flask Training , study and exam guide
1 Introduction to Flask
1.1 What is Flask?
1.2 History and Evolution of Flask
1.3 Flask vs Django
1.4 Setting Up the Development Environment
2 Flask Basics
2.1 Installing Flask
2.2 Creating Your First Flask Application
2.3 Understanding the Flask Application Structure
2.4 Routing in Flask
2.5 Variable Rules in Routing
2.6 HTTP Methods (GET, POST, PUT, DELETE)
3 Templates and Static Files
3.1 Introduction to Jinja2 Templates
3.2 Rendering Templates
3.3 Template Inheritance
3.4 Static Files (CSS, JavaScript, Images)
3.5 Using Bootstrap with Flask
4 Forms and User Input
4.1 Introduction to Flask-WTF
4.2 Creating Forms with Flask-WTF
4.3 Validating User Input
4.4 Handling File Uploads
4.5 Flash Messages
5 Databases with Flask
5.1 Introduction to SQLAlchemy
5.2 Setting Up a Database
5.3 Defining Models
5.4 CRUD Operations with SQLAlchemy
5.5 Relationships in SQLAlchemy
5.6 Migrations with Flask-Migrate
6 Authentication and Authorization
6.1 Introduction to Flask-Login
6.2 User Authentication
6.3 Protecting Routes with Login Required
6.4 User Roles and Permissions
6.5 Password Hashing with Werkzeug
7 RESTful APIs with Flask
7.1 Introduction to RESTful APIs
7.2 Creating a RESTful API with Flask
7.3 Serializing and Deserializing Data
7.4 Handling API Errors
7.5 Authentication for APIs
8 Testing Flask Applications
8.1 Introduction to Unit Testing
8.2 Writing Tests with Flask-Testing
8.3 Testing Routes and Views
8.4 Testing Database Interactions
8.5 Continuous Integration with Flask
9 Deployment and Scaling
9.1 Introduction to Deployment
9.2 Deploying Flask Applications on Heroku
9.3 Deploying Flask Applications on AWS
9.4 Scaling Flask Applications
9.5 Load Balancing and Caching
10 Advanced Topics
10.1 Background Tasks with Celery
10.2 WebSockets with Flask-SocketIO
10.3 Internationalization and Localization
10.4 Custom Error Pages
10.5 Extending Flask with Blueprints
11 Exam Preparation
11.1 Review of Key Concepts
11.2 Practice Questions
11.3 Mock Exams
11.4 Tips for the Exam Day
Handling API Errors Explained

Handling API Errors Explained

Key Concepts

Error Handling in APIs

Error handling in APIs is crucial for providing meaningful feedback to clients when something goes wrong. Proper error handling ensures that clients can understand what happened and take appropriate action.

HTTP Status Codes

HTTP status codes are three-digit numbers that indicate the outcome of an HTTP request. Common status codes include 200 (OK), 400 (Bad Request), 404 (Not Found), and 500 (Internal Server Error). These codes help clients understand the nature of the error.

from flask import Flask, jsonify

app = Flask(__name__)

@app.route('/resource/')
def get_resource(id):
    if id < 0:
        return jsonify({"error": "Invalid ID"}), 400
    return jsonify({"id": id, "data": "Some data"}), 200
    

Custom Error Responses

Custom error responses allow you to provide more detailed information about the error. This can include error messages, error codes, and suggestions for resolving the issue. Custom responses make the API more user-friendly.

@app.errorhandler(404)
def not_found(error):
    return jsonify({"error": "Resource not found", "code": 404}), 404

@app.errorhandler(500)
def internal_error(error):
    return jsonify({"error": "Internal server error", "code": 500}), 500
    

Logging Errors

Logging errors helps in diagnosing and fixing issues. By logging errors, you can track what went wrong, when it happened, and under what conditions. This is essential for maintaining and improving the API.

import logging

logging.basicConfig(level=logging.ERROR)

@app.route('/log_error')
def log_error():
    try:
        # Some code that might raise an error
        raise ValueError("An error occurred")
    except ValueError as e:
        logging.error(f"Error: {str(e)}")
        return jsonify({"error": "An error occurred"}), 500
    

Exception Handling

Exception handling involves catching and managing exceptions that occur during the execution of the API. This prevents the API from crashing and ensures that errors are handled gracefully.

@app.route('/divide//')
def divide(a, b):
    try:
        result = a / b
    except ZeroDivisionError:
        return jsonify({"error": "Division by zero"}), 400
    return jsonify({"result": result}), 200
    

Testing Error Scenarios

Testing error scenarios ensures that your API handles errors correctly. By simulating various error conditions, you can verify that the API responds appropriately and that error messages are clear and helpful.

def test_divide_by_zero():
    response = app.test_client().get('/divide/10/0')
    assert response.status_code == 400
    assert response.json == {"error": "Division by zero"}
    

Graceful Degradation

Graceful degradation involves designing the API to continue functioning, albeit with reduced capabilities, when errors occur. This ensures that the API remains usable even when parts of it fail.

@app.route('/degrade')
def degrade():
    try:
        # Some critical operation
        raise Exception("Critical error")
    except Exception:
        return jsonify({"warning": "Service degraded", "data": "Partial data"}), 206