Advanced Flask/Backend: Blueprints, Error Handlers, Middleware, Async Tasks
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# Advanced Flask/Backend: Blueprints, Error Handlers, Middleware, Async Tasks ## 🎯 Learning Objectives - Structure Flask applications with Blueprints for modularity - Implement custom error handlers and middleware - Use Celery for background task processing - Design RESTful APIs following best practices ## 📖 Core...

Advanced Flask/Backend: Blueprints, Error Handlers, Middleware, Async Tasks
🎯 Learning Objectives
- Structure Flask applications with Blueprints for modularity
- Implement custom error handlers and middleware
- Use Celery for background task processing
- Design RESTful APIs following best practices
📖 Core Content
1.1 Flask Blueprints
python# runnable from flask import Blueprint, jsonify # Define blueprint auth_bp = Blueprint('auth', __name__, url_prefix='/auth') @auth_bp.route('/login', methods=['POST']) def login(): return jsonify({"message": "Login endpoint"}) @auth_bp.route('/register', methods=['POST']) def register(): return jsonify({"message": "Register endpoint"}) # Register in main app # from flask import Flask # app = Flask(__name__) # app.register_blueprint(auth_bp)
1.2 Error Handlers
python# runnable from flask import jsonify # Custom error handler @app.errorhandler(404) def not_found(error): return jsonify({ "error": "Not Found", "message": "The requested resource was not found", "status_code": 404 }), 404 @app.errorhandler(500) def internal_error(error): return jsonify({ "error": "Internal Server Error", "message": "An unexpected error occurred", "status_code": 500 }), 500
1.3 Async Tasks with Celery
python# runnable from celery import Celery celery = Celery('tasks', broker='redis://localhost:6379/0') @celery.task def process_image(image_path): """Background image processing - runs asynchronously.""" # Heavy processing here result = {"status": "processed", "path": image_path} return result # Trigger async task from Flask # @app.route('/upload', methods=['POST']) # def upload(): # task = process_image.delay(file_path) # return jsonify({"task_id": task.id}), 202
1.4 Why This Matters
Production Flask apps need more than a simple script. Blueprints keep the code organized as the app grows. Error handlers provide consistent API responses. Background tasks prevent blocking the web server on long operations.
2. 📝 Practice Questions
Q1: Your Flask app has become a single file with 2000+ lines. Name three refactoring steps to improve maintainability.
- Split into Blueprints: Create separate blueprints for auth, API, admin, etc. Each in its own file.
- Extract models to separate module: Move all SQLAlchemy models to
models.py.- Configuration in a separate file: Use
config.pyor environment variables for settings.- Services layer: Move business logic out of route handlers into service classes.
- Celery tasks in a separate module: All async tasks in
tasks.py.This creates a structure like:pseudoapp/ ├── __init__.py # App factory ├── config.py # Configuration ├── models.py # Database models ├── auth/ # Auth blueprint ├── api/ # API blueprint ├── tasks.py # Celery tasks └── utils.py # Helper functions