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A detailed explanation of Python context managers and with blocks

巴扎黑
巴扎黑Original
2017-09-11 10:51:491003browse

This article mainly introduces the relevant information of Python context manager and with block in detail. It has certain reference value. Interested friends can refer to

Context Manager and with block, the specific content is as follows

The purpose of the context manager object is to manage the with statement, just like the existence of the iterator is to manage the for statement.

The purpose of the with statement is to simplify the try/finally pattern. This mode is used to ensure that a certain operation is performed after a piece of code has finished running. Even if the code is terminated due to an exception, a return statement, or a sys.exit() call, the specified operation will be performed. The code in the finally clause is usually used to release important resources or restore temporarily changed state.

==The context manager protocol contains two methods == enter and exit. When the with statement starts running, the enter method is called on the context manager object. After the with statement finishes running, the exit method is called on the context manager object, thus acting as the finally clause.

==The result of executing the expression after with is the context manager object. Binding the value to the target variable (as clause) is the result of calling the enter method on the context manager object== . The as clause of the with statement is optional. For the open function, an as clause must be added to obtain a reference to the file. However, some context managers will return None because there is no useful object to provide to the user.


with open('mirror.py') as fp:
  ...

Customized context class:


class A:
  def __init__(self, name):
    self.name = name

  def __enter__(self):
    print('enter')
    return self.name

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

with A('xiaozhe') as dt:
  print(dt)

contextlib module

# There are also some classes and other functions in the ##contextlib module, which are used more widely.

closing: If the object provides a close() method but does not implement the

enter/exit protocol, you can use this function to build a context manager. suppress: Construct a context manager that temporarily ignores the specified exception.
@contextmanager: ==This decorator turns a simple generator function into a context manager==, so there is no need to create a class to implement the manager protocol.
ContextDecorator: This is a base class used to define class-based context managers. This context manager can also be used to decorate functions, running the entire function in a managed context
ExitStack: This context manager can enter multiple context managers. At the end of the with block, ExitStack calls the
exit methods of each context manager in the stack in last-in-first-out order.

==The most widely used is the @contextmanager decorator, so pay special attention to it. This decorator is also confusing because it has nothing to do with iteration, but uses the yield statement ==.

Using @contextmanager

@contextmanager decorator can reduce the amount of boilerplate code to create a context manager. Instead of writing a complete class defining enter and exit methods, only You need to implement a generator with a yield statement to generate the value you want the enter method to return.

In a generator decorated with @contextmanager, the function of the yield statement is to divide the definition body of the function into two parts: All the code before the ==yield statement is at the beginning of the with block (that is, the interpreter calls the enter method ), the code following the yield statement executes == at the end of the with block (that is, when the exit method is called).


import contextlib

@contextlib.contextmanager
def test(name):
  print('start')
  yield name
  print('end')

with test('zhexiao123') as dt:
  print(dt)
  print('doing something')

Implementation principle

contextlib.contextmanager The decorator will wrap the function into a class that implements the enter and exit methods. The name of the class is _GeneratorContextManager.

The enter method of this class has the following functions:

1. Call the generator function and save the generator object (here it is called gen).
2. Call next(gen) and execute to the location of the yield keyword.
3. Return the value produced by next(gen) so that the produced value can be bound to the target variable in the with/as statement.

When the with block terminates, the exit method will do the following things:


1. Check whether the exception has been passed to exc_type; if so, call gen.throw(exception) , an exception is thrown on the line containing the yield keyword in the generator function definition body.

2. Otherwise, call next(gen) to continue executing the code after the yield statement in the generator function definition body.

Exception handling

In order to tell the interpreter that the exception has been handled, the exit method will return True, and the interpreter will suppress the exception. If the exit method does not explicitly return a value, the interpreter gets None and bubbles up the exception.

When using the @contextmanager decorator, the default behavior is the opposite: the exit method provided by the decorator assumes that all exceptions sent to the generator have been handled, so exceptions should be suppressed. If you do not want @contextmanager to suppress exceptions, you must explicitly rethrow the exception in the decorated function.

There is a bug in the above code: if an exception is thrown in the with block, the Python interpreter will catch it and then throw it again in the yield expression of the test function. However, there is no code to handle the error, so the test function aborts.

使用 @contextmanager 装饰器时,要把 yield 语句放在 try/finally 语句中,因为我们永远不知道上下文管理器的用户会在 with 块中做什么。


import contextlib

@contextlib.contextmanager
def test(name):
  print('start')

  try:
    yield name
  except:
    raise ValueError('error')
  finally:
    print('end')

with test('zhexiao123') as dt:
  print(dt)
  print('doing something')

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