Usage of a module may be 'deprecated', which means that it may be removed from a future Python release. The rationale for deprecating a module is also collected in this PEP. If the rationale turns out faulty, the module may become 'undeprecated'.
Using @deprecated To mark a function or method as deprecated, wrap it in the deprecated() decorator. This does several things for you: The docstring of the wrapped function will have details appended to it from the arguments you set on deprecated() .
And you should be able to indicate deprecation when the function is imported from the module. Decorator would be a right tool for that.
Python is praised for its clear and concise syntax, and decorators are no exceptions. If there is any behaviour that is common to more than one function, you probably need to make a decorator. Here are some examples when they might come in handy: Check arguments type at runtime.
Here's some snippet, modified from those cited by Leandro:
import warnings
import functools
def deprecated(func):
"""This is a decorator which can be used to mark functions
as deprecated. It will result in a warning being emitted
when the function is used."""
@functools.wraps(func)
def new_func(*args, **kwargs):
warnings.simplefilter('always', DeprecationWarning) # turn off filter
warnings.warn("Call to deprecated function {}.".format(func.__name__),
category=DeprecationWarning,
stacklevel=2)
warnings.simplefilter('default', DeprecationWarning) # reset filter
return func(*args, **kwargs)
return new_func
# Examples
@deprecated
def some_old_function(x, y):
return x + y
class SomeClass:
@deprecated
def some_old_method(self, x, y):
return x + y
Because in some interpreters the first solution exposed (without filter handling) may result in a warning suppression.
Here is another solution:
This decorator (a decorator factory in fact) allow you to give a reason message. It is also more useful to help the developer to diagnose the problem by giving the source filename and line number.
EDIT: This code use Zero's recommendation: it replace warnings.warn_explicit
line by warnings.warn(msg, category=DeprecationWarning, stacklevel=2)
,
which prints the function call site rather than the function definition site. It makes debugging easier.
EDIT2: This version allow the developper to specify an optional "reason" message.
import functools
import inspect
import warnings
string_types = (type(b''), type(u''))
def deprecated(reason):
"""
This is a decorator which can be used to mark functions
as deprecated. It will result in a warning being emitted
when the function is used.
"""
if isinstance(reason, string_types):
# The @deprecated is used with a 'reason'.
#
# .. code-block:: python
#
# @deprecated("please, use another function")
# def old_function(x, y):
# pass
def decorator(func1):
if inspect.isclass(func1):
fmt1 = "Call to deprecated class {name} ({reason})."
else:
fmt1 = "Call to deprecated function {name} ({reason})."
@functools.wraps(func1)
def new_func1(*args, **kwargs):
warnings.simplefilter('always', DeprecationWarning)
warnings.warn(
fmt1.format(name=func1.__name__, reason=reason),
category=DeprecationWarning,
stacklevel=2
)
warnings.simplefilter('default', DeprecationWarning)
return func1(*args, **kwargs)
return new_func1
return decorator
elif inspect.isclass(reason) or inspect.isfunction(reason):
# The @deprecated is used without any 'reason'.
#
# .. code-block:: python
#
# @deprecated
# def old_function(x, y):
# pass
func2 = reason
if inspect.isclass(func2):
fmt2 = "Call to deprecated class {name}."
else:
fmt2 = "Call to deprecated function {name}."
@functools.wraps(func2)
def new_func2(*args, **kwargs):
warnings.simplefilter('always', DeprecationWarning)
warnings.warn(
fmt2.format(name=func2.__name__),
category=DeprecationWarning,
stacklevel=2
)
warnings.simplefilter('default', DeprecationWarning)
return func2(*args, **kwargs)
return new_func2
else:
raise TypeError(repr(type(reason)))
You can use this decorator for functions, methods and classes.
Here is a simple example:
@deprecated("use another function")
def some_old_function(x, y):
return x + y
class SomeClass(object):
@deprecated("use another method")
def some_old_method(self, x, y):
return x + y
@deprecated("use another class")
class SomeOldClass(object):
pass
some_old_function(5, 3)
SomeClass().some_old_method(8, 9)
SomeOldClass()
You'll get:
deprecated_example.py:59: DeprecationWarning: Call to deprecated function or method some_old_function (use another function).
some_old_function(5, 3)
deprecated_example.py:60: DeprecationWarning: Call to deprecated function or method some_old_method (use another method).
SomeClass().some_old_method(8, 9)
deprecated_example.py:61: DeprecationWarning: Call to deprecated class SomeOldClass (use another class).
SomeOldClass()
EDIT3: This decorator is now part of the Deprecated library:
New stable release v1.2.13 🎉
As muon suggested, you can install the deprecation
package for this.
The
deprecation
library provides adeprecated
decorator and afail_if_not_removed
decorator for your tests.
pip install deprecation
import deprecation
@deprecation.deprecated(deprecated_in="1.0", removed_in="2.0",
current_version=__version__,
details="Use the bar function instead")
def foo():
"""Do some stuff"""
return 1
See http://deprecation.readthedocs.io/ for the full documentation.
I guess the reason is that Python code can't be processed statically (as it done for C++ compilers), you can't get warning about using some things before actually using it. I don't think that it's a good idea to spam user of your script with a bunch of messages "Warning: this developer of this script is using deprecated API".
Update: but you can create decorator which will transform original function into another. New function will mark/check switch telling that this function was called already and will show message only on turning switch into on state. And/or at exit it may print list of all deprecated functions used in program.
You can create a utils file
import warnings
def deprecated(message):
def deprecated_decorator(func):
def deprecated_func(*args, **kwargs):
warnings.warn("{} is a deprecated function. {}".format(func.__name__, message),
category=DeprecationWarning,
stacklevel=2)
warnings.simplefilter('default', DeprecationWarning)
return func(*args, **kwargs)
return deprecated_func
return deprecated_decorator
And then import the deprecation decorator as follows:
from .utils import deprecated
@deprecated("Use method yyy instead")
def some_method()"
pass
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