https://www.runoob.com/w3cnote/python-func-decorators.html
#decorator

1.what is decortaor

在 Python 中，装饰器（Decorator）是一种用于快速修改或扩展函数/方法行为的高级语法糖

按实现方式进行分类，装饰器可以分为

1. 内置装饰器
2. 函数装饰器
3. 类装饰器

内置装饰器

1.@wrap

warp可以保证装饰器不会覆盖被装饰对象的函数名称(__name__)，注释文档(__doc__)以及参数列表等等

from functools import wraps
 
def a_new_decorator(a_func):
    @wraps(a_func)
    def wrapTheFunction():
        print("I am doing some boring work before executing a_func()")
        a_func()
        print("I am doing some boring work after executing a_func()")
    return wrapTheFunction
 
@a_new_decorator
def a_function_requiring_decoration():
    """Hey yo! Decorate me!"""
    print("I am the function which needs some decoration to "
          "remove my foul smell")
 
print(a_function_requiring_decoration.__name__)
# Output: a_function_requiring_decoration

print(a_function_requiring_decoration())
# Output:
#I am doing some boring work before executing a_func()
#I am the function which needs some decoration to remove my foul smell
#I am doing some boring work after executing a_func()

2. @property

#property
property decorator可以把对应的函数当做属性一样获取，不需要加上()获取值

class Money:
    def __init__(self, dollars, cents):
        self.total_cents = dollars * 100 + cents

    # Getter and setter for dollars...
    @property
    def dollars(self):
        return self.total_cents // 100
    
    @dollars.setter
    def dollars(self, new_dollars):
        self.total_cents = 100 * new_dollars + self.cents

    # And the getter and setter for cents.
    @property
    def cents(self):
        return self.total_cents % 100
    
    @cents.setter
    def cents(self, new_cents):
        self.total_cents = 100 * self.dollars + new_cents

m = Money(5,10)
print(f"now with dollars:{m.dollars},cents:{m.cents}, total cents:{m.total_cents}")
# now with dollars:5,cents:10, total cents:510
m.dollars+=2;
m.cents+=2;
print(f"now with dollars:{m.dollars},cents:{m.cents}, total cents:{m.total_cents}")
# now with dollars:7,cents:12, total cents:712

3.@staticmethod

4.@classmethod

5.@lru_cache

函数装饰器

类装饰器

自定义类装饰器

这里参考evalscope的代码示例
evalscope支持openai tgi等等多个接口对接后端大模型，对于输入指定的url可以判断是什么类型的接口，这里通过传入的url来选择指定的接口类进行输入处理，组装request

以openai接口处理类为例，如下图，第13行使用自定义装饰器进行装饰第14行定义的接口类
展开来看的话，

• @register_api([...])是一个带有参数的类装饰器，本质是一个装饰器工厂，接受一个参数列表，返回一个装饰器函数
• 上面返回的装饰器函数是register_api的内层函数，这个装饰器接受类作为参数进行修改/扩展或者增强

@dataclass

https://stackoverflow.com/a/74406814

自动添加__init__方法

from dataclasses import dataclass
@dataclass
class Point:
	x: int
	y: int

a = Point(10,20)
#print(a)
print(a.__repr__())