算法艺术创作
algorithmic-art
通过代码和可调参数创作生成艺术与交互式视觉效果。
software-architecture-monolith【设计与创意】Guides the design and implementation of monolithic architecture, focusing on best practices and pitfalls in monolithic systems.
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name: software-architecture-monolith description: Guides the design and implementation of monolithic architecture, focusing on best practices and pitfalls in monolithic systems. license: MIT compatibility: opencode metadata: version: "1.0.0" domain: coding triggers: monolith, monolithic architecture, monolith design, monolith patterns archetypes:
archetypes: tactical, educational anti_triggers: microservices response_profile: verbosity: medium directive_strength: high abstraction_level: tactical
Guides the design and implementation of monolithic architecture, focusing on best practices and pitfalls in monolithic systems.
Verbosity: Medium
Directive Strength: High
Abstraction Level: Tactical
When building small to medium-sized applications.
For applications that require a quick go-to-market strategy.
When simplicity is prioritized over scalability.
Order Management Example – Here’s an example of managing orders within a monolithic architecture:
class OrderService:
def __init__(self):
self.orders = []
def add_order(self, order):
self.orders.append(order)
# Logic to persist order in a database
print(f'Added order: {order}')
# Example of Order and OrderService classes usage:
order_service = OrderService()
order_service.add_order({"item": "Laptop", "quantity": 1})
Product Catalog Example – A common approach for managing product catalogs:
class Product:
def __init__(self, name, price):
self.name = name
self.price = price
class ProductService:
def __init__(self):
self.products = []
def add_product(self, product):
self.products.append(product)
# Logic to save product to the database
print(f'Added product: {product.name}')
# Example usage:
product_service = ProductService()
product_service.add_product(Product('Smartphone', 599.99))
Performance Optimization Example – Using efficient memory management and caching strategies:
class Cache:
def __init__(self):
self.data = {}
def get(self, key):
return self.data.get(key)
def set(self, key, value):
self.data[key] = value
# Logic for caching results
Best Practices – A guide for scalability and maintainability of the monolith:
Order Management Example – Here’s an example of managing orders within a monolithic architecture:
class OrderService:
def __init__(self):
self.orders = []
def add_order(self, order):
self.orders.append(order)
# Logic to persist order in a database
print(f'Added order: {order}')
# Example of Order and OrderService classes usage:
order_service = OrderService()
order_service.add_order({"item": "Laptop", "quantity": 1})
This shows how orders can be added and managed directly within a single application flow.
Product Catalog Example – A common approach for managing product catalogs:
class Product:
def __init__(self, name, price):
self.name = name
self.price = price
class ProductService:
def __init__(self):
self.products = []
def add_product(self, product):
self.products.append(product)
# Logic to save product to the database
print(f'Added product: {product.name}')
# Example usage:
product_service = ProductService()
product_service.add_product(Product('Smartphone', 599.99))
Performance Optimization Example – Using efficient memory management and caching strategies:
class Cache:
def __init__(self):
self.data = {}
def get(self, key):
return self.data.get(key)
def set(self, key, value):
self.data[key] = value
# Logic for caching results
Best Practices – A guide for scalability and maintainability of the monolith:
class Order:
def __init__(self, item, quantity):
self.item = item
self.quantity = quantity
class OrderService:
def __init__(self):
self.orders = []
def add_order(self, order):
self.orders.append(order)
# Persist order in a monolithic database