Python装饰器使用示例及实际应用例子

秋天的花朵是美丽的。黄的菊花、白的茶花、紫的牵牛花,还有漫山遍野的野菊花。

测试1

deco运行,但myfunc并没有运行


def deco(func):
print 'before func'
return func

def myfunc():
print 'myfunc() called'

myfunc = deco(myfunc)

测试2

需要的deco中调用myfunc,这样才可以执行


def deco(func):
print 'before func'
func()
print 'after func'
return func

def myfunc():
print 'myfunc() called'

myfunc = deco(myfunc)

测试3

@函数名 但是它执行了两次


def deco(func):
print 'before func'
func()
print 'after func'
return func

@deco
def myfunc():
print 'myfunc() called'

myfunc()

测试4

这样装饰才行


def deco(func):
def _deco():
print 'before func'
func()
print 'after func'
return _deco

@deco
def myfunc():
print 'myfunc() called'

myfunc()

测试5

@带参数,使用嵌套的方法


def deco(arg):
def _deco(func):
print arg
def __deco():
print 'before func'
func()
print 'after func'
return __deco
return _deco

@deco('deco')
def myfunc():
print 'myfunc() called'

myfunc()

测试6

函数参数传递


def deco(arg):
def _deco(func):
print arg
def __deco(str):
print 'before func'
func(str)
print 'after func'
return __deco
return _deco

@deco('deco')
def myfunc(str):
print 'myfunc() called ', str

myfunc('hello')

测试7

未知参数个数


def deco(arg):
def _deco(func):
print arg
def __deco(*args, **kwargs):
print 'before func'
func(*args, **kwargs)
print 'after func'
return __deco
return _deco

@deco('deco1')
def myfunc1(str):
print 'myfunc1() called ', str

@deco('deco2')
def myfunc2(str1,str2):
print 'myfunc2() called ', str1, str2

myfunc1('hello')

myfunc2('hello', 'world')

测试8

class作为修饰器


class myDecorator(object):

def __init__(self, fn):
print "inside myDecorator.__init__()"
self.fn = fn

def __call__(self):
self.fn()
print "inside myDecorator.__call__()"

@myDecorator
def aFunction():
print "inside aFunction()"

print "Finished decorating aFunction()"

aFunction()

测试9


class myDecorator(object):

def __init__(self, str):
print "inside myDecorator.__init__()"
self.str = str
print self.str

def __call__(self, fn):
def wrapped(*args, **kwargs):
fn()
print "inside myDecorator.__call__()"
return wrapped

@myDecorator('this is str')
def aFunction():
print "inside aFunction()"

print "Finished decorating aFunction()"

aFunction()

实例

给函数做缓存 --- 斐波拉契数列


from functools import wraps
def memo(fn):
cache = {}
miss = object()

@wraps(fn)
def wrapper(*args):
result = cache.get(args, miss)
if result is miss:
result = fn(*args)
cache[args] = result
return result

return wrapper

@memo
def fib(n):
if n < 2:
return n
return fib(n - 1) + fib(n - 2)

print fib(10)

注册回调函数 --- web请求回调


class MyApp():
def __init__(self):
self.func_map = {}

def register(self, name):
def func_wrapper(func):
self.func_map[name] = func
return func
return func_wrapper

def call_method(self, name=None):
func = self.func_map.get(name, None)
if func is None:
raise Exception("No function registered against - " + str(name))
return func()

app = MyApp()

@app.register('/')
def main_page_func():
return "This is the main page."

@app.register('/next_page')
def next_page_func():
return "This is the next page."

print app.call_method('/')
print app.call_method('/next_page')

mysql封装 -- 很好用


import umysql
from functools import wraps

class Configuraion:
def __init__(self, env):
if env == "Prod":
self.host = "coolshell.cn"
self.port = 3306
self.db = "coolshell"
self.user = "coolshell"
self.passwd = "fuckgfw"
elif env == "Test":
self.host = 'localhost'
self.port = 3300
self.user = 'coolshell'
self.db = 'coolshell'
self.passwd = 'fuckgfw'

def mysql(sql):

_conf = Configuraion(env="Prod")

def on_sql_error(err):
print err
sys.exit(-1)

def handle_sql_result(rs):
if rs.rows > 0:
fieldnames = [f[0] for f in rs.fields]
return [dict(zip(fieldnames, r)) for r in rs.rows]
else:
return []

def decorator(fn):
@wraps(fn)
def wrapper(*args, **kwargs):
mysqlconn = umysql.Connection()
mysqlconn.settimeout(5)
mysqlconn.connect(_conf.host, _conf.port, _conf.user, \
_conf.passwd, _conf.db, True, 'utf8')
try:
rs = mysqlconn.query(sql, {})
except umysql.Error as e:
on_sql_error(e)

data = handle_sql_result(rs)
kwargs["data"] = data
result = fn(*args, **kwargs)
mysqlconn.close()
return result
return wrapper

return decorator


@mysql(sql = "select * from coolshell" )
def get_coolshell(data):
... ...
... ..

线程异步


from threading import Thread
from functools import wraps

def async(func):
@wraps(func)
def async_func(*args, **kwargs):
func_hl = Thread(target = func, args = args, kwargs = kwargs)
func_hl.start()
return func_hl

return async_func

if __name__ == '__main__':
from time import sleep

@async
def print_somedata():
print 'starting print_somedata'
sleep(2)
print 'print_somedata: 2 sec passed'
sleep(2)
print 'print_somedata: 2 sec passed'
sleep(2)
print 'finished print_somedata'

def main():
print_somedata()
print 'back in main'
print_somedata()
print 'back in main'

main()

以上就是Python装饰器使用示例及实际应用例子。不是哥说你,你能行!哥觉得你就应该是研究生,没问题你肯定行!更多关于Python装饰器使用示例及实际应用例子请关注haodaima.com其它相关文章!

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