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Flask Production Best Practices

Essential Flask best practices for production including application factories, blueprints, configuration management, and error handling patterns.

Flask Production Best Practices

Flask's flexibility is a double-edged sword. Without structure, Flask apps become unmaintainable. Here are proven patterns for production.

Use Application Factories

Avoid global app objects. Use the factory pattern:

def create_app(config_name='production'):
    app = Flask(__name__)
    app.config.from_object(config[config_name])

    db.init_app(app)
    migrate.init_app(app, db)
    login_manager.init_app(app)

    from .api import api_bp
    app.register_blueprint(api_bp, url_prefix='/api')

    register_error_handlers(app)
    return app

This enables testing with different configurations and prevents circular imports.

Organize with Blueprints

Split your app into logical modules:

app/
  __init__.py        # create_app factory
  models/
  api/
    __init__.py      # api_bp blueprint
    auth.py
    users.py
    orders.py
  services/
    user_service.py
    order_service.py

Configuration Management

class Config:
    SQLALCHEMY_TRACK_MODIFICATIONS = False
    SECRET_KEY = os.environ.get('SECRET_KEY')

class ProductionConfig(Config):
    DEBUG = False
    SQLALCHEMY_DATABASE_URI = os.environ.get('DATABASE_URL')

class TestingConfig(Config):
    TESTING = True
    SQLALCHEMY_DATABASE_URI = 'sqlite:///:memory:'

Never hardcode secrets. Always load from environment variables.

Centralized Error Handling

def register_error_handlers(app):
    @app.errorhandler(404)
    def not_found(error):
        return {'error': 'Not found'}, 404

    @app.errorhandler(500)
    def server_error(error):
        return {'error': 'Internal server error'}, 500

    @app.errorhandler(Exception)
    def unhandled_exception(error):
        app.logger.error(f'Unhandled exception: {error}', exc_info=True)
        return {'error': 'Internal server error'}, 500

Request Lifecycle Hooks

Use before_request and after_request for cross-cutting concerns like authentication validation and response headers.

Monitoring

Integrate Bugsly early in development. Flask's quiet failure modes mean bugs can lurk unnoticed for weeks without proper error tracking in place.

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