进一步探究Python的装饰器的运用

def func_top(url):
  data_dict= {}
 
  #在页面上获取到子url
  sub_urls = xxxx
 
  data_list = []
  for it in sub_urls:
    data_list.append(func_sub(it))
 
  data_dict['data'] = data_list
 
  return data_dict
 
def func_sub(url):
  data_dict= {}
 
  #在页面上获取到子url
  bottom_urls = xxxx
 
  data_list = []
  for it in bottom_urls:
    data_list.append(func_bottom(it))
 
  data_dict['data'] = data_list
 
  return data_dict
 
def func_bottom(url):
  #获取数据
  data = xxxx
  return data

import os
import hashlib
 
def deco_args_recent_cache(category='dumps'):
  '''
  装饰器，返回最新cache的数据
  '''
  def deco_recent_cache(func):
    def func_wrapper(*args, **kargs):
      sig = _mk_cache_sig(*args, **kargs)
      data = _get_recent_cache(category, func.__name__, sig)
      if data is not None:
        return data
 
      data = func(*args, **kargs)
      if data is not None:
        _set_recent_cache(category, func.__name__, sig, data)
      return data
 
    return func_wrapper
 
  return deco_recent_cache
 
def _mk_cache_sig(*args, **kargs):
  '''
  通过传入参数，生成唯一标识
  '''
  src_data = repr(args) + repr(kargs)
  m = hashlib.md5(src_data)
  sig = m.hexdigest()
  return sig
 
def _get_recent_cache(category, func_name, sig):
  full_file_path = '%s/%s/%s' % (category, func_name, sig)
  if os.path.isfile(full_file_path):
    return eval(file(full_file_path,'r').read())
  else:
    return None
 
def _set_recent_cache(category, func_name, sig, data):
  full_dir_path = '%s/%s' % (category, func_name)
  if not os.path.isdir(full_dir_path):
    os.makedirs(full_dir_path)
 
  full_file_path = '%s/%s/%s' % (category, func_name, sig)
  f = file(full_file_path, 'w+')
  f.write(repr(data))
  f.close()