详解Python中contextlib上下文管理模块的用法

咱们用的os模块，读取文件的时候，其实他是含有__enter__ __exit__ 。 一个是with触发的时候，一个是退出的时候。

with file('nima,'r') as f:
  print f.readline()

那咱们自己再实现一个标准的可以with的类。 我个人写python的时候，喜欢针对一些需要有关闭逻辑的代码，构造成with的模式 。

#encoding:utf-8
class echo:
  def __enter__(self):
    print 'enter'
 
  def __exit__(self,*args):
    print 'exit'
 
with echo() as e:
  print 'nima'

contextlib是个比with优美的东西，也是提供上下文机制的模块，它是通过Generator装饰器实现的，不再是采用__enter__和__exit__。contextlib中的contextmanager作为装饰器来提供一种针对函数级别的上下文管理机制。

from contextlib import contextmanager
 
@contextmanager
def make_context() :
  print 'enter'
  try :
    yield {}
  except RuntimeError, err :
    print 'error' , err
  finally :
    print 'exit'
 
with make_context() as value :
  print value

我这里再贴下我上次写的redis分布式锁代码中有关于contextlib的用法。其实乍一看，用了with和contextlib麻烦了，但是最少让你的主体代码更加鲜明了。

from contextlib import contextmanager
from random import random
 
DEFAULT_EXPIRES = 15
DEFAULT_RETRIES = 5
 
@contextmanager
def dist_lock(key, client):
  key = 'lock_%s' % key
 
  try:
    _acquire_lock(key, client)
    yield
  finally:
    _release_lock(key, client)
 
def _acquire_lock(key, client):
  for i in xrange(0, DEFAULT_RETRIES):
    get_stored = client.get(key)
    if get_stored:
      sleep_time = (((i+1)*random()) + 2**i) / 2.5
      print 'Sleeipng for %s' % (sleep_time)
      time.sleep(sleep_time)
    else:
      stored = client.set(key, 1)
      client.expire(key,DEFAULT_EXPIRES)
      return
  raise Exception('Could not acquire lock for %s' % key)
 
def _release_lock(key, client):
  client.delete(key)

Context Manager API

一个上下文管理器通过with声明激活, 而且API包含两个方法。__enter__()方法运行执行流进入到with代码块内。他返回一个对象共上下文使用。当执行流离开with块时，__exit__()方法上下文管理器清除任何资源被使用。

class Context(object):
  
  def __init__(self):
    print '__init__()'

  def __enter__(self):
    print '__enter__()'
    return self

  def __exit__(self, exc_type, exc_val, exc_tb):
    print '__exit__()'

with Context():
  print 'Doing work in the context.'

打印结果

__init__()
__enter__()
Doing work in the context.
__exit__()

执行上下文管理器时会调用__enter__离开时调用__exit__。

__enter__能返回任意对象，联合一个指定名字于with声明。

class WithinContext(object):

  def __init__(self, context):
    print 'WithinContext.__init__(%s)' % context

  def do_something(self):
    print 'WithinContext.do_something()'

  def __del__(self):
    print 'WithinContext.__del__'


class Context(object):

  def __init__(self):
    print '__init__()'
  
  def __enter__(self):
    print '__enter__()'
    return WithinContext(self)
  
  def __exit__(self, exc_type, exc_val, exc_tb):
    print '__exit__()'

with Context() as c:
  c.do_something()

打印结果

__init__()
__enter__()
WithinContext.__init__(<__main__.Context object at 0x7f579d8e4890>)
WithinContext.do_something()
__exit__()
WithinContext.__del__

如果上下文管理器能处理异常,__exit__()应该返回一个True值表明这个异常不需要传播,返回False异常会在执行__exit__之后被引起。

class Context(object):

  def __init__(self, handle_error):
    print '__init__(%s)' % handle_error
    self.handle_error = handle_error
  
  def __enter__(self):
    print '__enter__()'
    return self
  
  def __exit__(self, exc_type, exc_val, exc_tb):
    print '__exit__(%s, %s, %s)' % (exc_type, exc_val, exc_tb)
    return self.handle_error

with Context(True):
  raise RuntimeError('error message handled')

print

with Context(False):
  raise RuntimeError('error message propagated')

打印结果

__init__(True)
__enter__()
__exit__(<type 'exceptions.RuntimeError'>, error message handled, <traceback object at 0x7fdfb32f8b00>)

__init__(False)
__enter__()
__exit__(<type 'exceptions.RuntimeError'>, error message propagated, <traceback object at 0x7fdfb32f8b90>)
Traceback (most recent call last):
 File "test.py", line 23, in <module>
   raise RuntimeError('error message propagated')
   RuntimeError: error message propagated

从生成器到上下文管理器

创建上下文管理的传统方法,通过编写一个类与__enter__()和__exit__()方法,并不困难。但有时比你需要的开销只是管理一个微不足道的上下文。在这类情况下,您可以使用contextmanager() decorat or 生成器函数转换成一个上下文管理器。

import contextlib

@contextlib.contextmanager
def make_context():
  print ' entering'
  try:
    yield {}
   except RuntimeError, err:
    print ' Error:', err
  finally:
    print ' exiting'
    
print 'Normal:'

with make_context() as value:
  print ' inside with statement:', value
  
print
print 'handled ereor:'

with make_context() as value:
  raise RuntimeError('show example of handling an error')

print
print 'unhandled error:'

with make_context() as value:
  raise ValueError('this exception is not handled')

打印结果

Normal:
 entering
 inside with statement: {}
  exiting

handled ereor:
entering
 Error: show example of handling an error
 exiting

unhandled error:
entering
exiting
Traceback (most recent call last):
 File "test.py", line 30, in <module>
   raise ValueError('this exception is not handled')
   ValueError: this exception is not handled

嵌套上下文

使用nested()可以同时管理多个上下文。

import contextlib

@contextlib.contextmanager
def make_context(name):
  print 'entering:', name
  yield name
  print 'exiting:', name

with contextlib.nested(make_context('A'), make_context('B'), make_context('C')) as (A, B,   C):
  print 'inside with statement:', A, B, C

打印结果

entering: A
entering: B
entering: C
inside with statement: A B C
exiting: C
exiting: B
exiting: A

因为Python 2.7和以后的版本不赞成使用nested(),因为可以直接嵌套

import contextlib

@contextlib.contextmanager
def make_context(name):
  print 'entering:', name
  yield name
  print 'exiting:', name

with make_context('A') as A, make_context('B') as B, make_context('C') as C:
  print 'inside with statement:', A, B, C

关闭open的句柄

文件类支持上下文管理器, 但是有一些对象不支持。还有一些类使用close()方法但是不支持上下文管理器。我们使用closing()来为他创建一个上下文管理器。(类必须有close方法)

import contextlib


class Door(object):
  def __init__(self):
    print ' __init__()'
    
  def close(self):
    print ' close()'

print 'Normal Example:'
with contextlib.closing(Door()) as door:
  print ' inside with statement'
  
print 
print 'Error handling example:'
try:
  with contextlib.closing(Door()) as door:
    print ' raising from inside with statement'
    raise RuntimeError('error message')
except Exception, err:
  print ' Had an error:', err

打印结果

Normal Example:
  __init__()
  inside with statement
  close()

Error handling example:
  __init__()
  raising from inside with statement
  close()
  Had an error: error message