I got the following class :
class ConstraintFailureSet(dict, Exception) :
"""
Container for constraint failures. It act as a constraint failure itself
but can contain other constraint failures that can be accessed with a dict syntax.
"""
def __init__(self, **failures) :
dict.__init__(self, failures)
Exception.__init__(self)
print isinstance(ConstraintFailureSet(), Exception)
True
raise ConstraintFailureSet()
TypeError: exceptions must be classes, instances, or strings (deprecated), not ConstraintFailureSet
What the heck ?
And the worst is that I can't try super() since Exception are old based class...
EDIT : And, yes, I've tried to switch the order of inheritance / init.
EDIT2 : I am using CPython 2.4 on Ubuntu8.10. You newer know is this kind of infos is usefull ;-). Anyway, this little riddle has shut the mouth of 3 of my collegues. You'd be my best-friend-of-the day...
Both Exception and dict are implemented in C.
I think you can test this the follwing way:
>>> class C(object): pass
...
>>> '__module__' in C.__dict__
True
>>> '__module__' in dict.__dict__
False
>>> '__module__' in Exception.__dict__
False
Since Exception and dict have different ideas of how to store their data internally, they are not compatible and thus you cannot inherit from both at the same time.
In later versions of Python you should get an Exception the moment you try to define the class:
>>> class foo(dict, Exception):
... pass
...
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
TypeError: Error when calling the metaclass bases
multiple bases have instance lay-out conflict
What's wrong with this?
class ConstraintFailure( Exception ):
def __init__( self, **failures ):
self.failures= failures # already a dict, don't need to do anything
def __getitem__( self, key ):
return self.failures.get(key)
This is an Exception, and it contains other exceptions in an internal dictionary named failures.
Could you update your problem to list some some specific thing this can't do?
try:
raise ConstraintFailure( x=ValueError, y=Exception )
except ConstraintFailure, e:
print e['x']
print e['y']
<type 'exceptions.ValueError'>
<type 'exceptions.Exception'>
No reason but a solution
For the moment I still don't know the why, but I bypass it using UserDict.UserDict. It's slower since it's pure Python, but I don't think on this part of the app it will be troublesome.
Still interested about the answer anyway ;-)
What version of Python?
In 2.5.1, I can't even define a class the inherits from both dict and Exception:
>>> class foo(dict, Exception):
... pass
...
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
TypeError: Error when calling the metaclass bases
multiple bases have instance lay-out conflict
If you're using an older version, maybe it doesn't do this check during type definition and the conflict causes oddities later on.
I am almost certain that with 2.4 problem is caused by exceptions being old style classes.
$ python2.4
Python 2.4.4 (#1, Feb 19 2009, 09:13:34)
>>> type(dict)
<type 'type'>
>>> type(Exception)
<type 'classobj'>
>>> type(Exception())
<type 'instance'>
$ python2.5
Python 2.5.4 (r254:67916, Feb 17 2009, 23:11:16)
>>> type(Exception)
<type 'type'>
>>> type(Exception())
<type 'exceptions.Exception'>
In both versions as the message says exceptions can be classes, instances (of old style classes) or strings (deprecated).
From version 2.5 exception hierarchy is based on new style classes finally. And instances of new style classes which inherit from BaseException are now allowed too.
But in 2.4 multiple inheritance from Exception (old style class) and dict (new style class)
results in new style class which is not allowed as exception (mixing old and new style classes is probably bad anyway).
Use collections.UserDict to avoid metaclass conflicts:
class ConstraintFailureSet(coll.UserDict, Exception):
"""
Container for constraint failures. It act as a constraint failure itself
but can contain other constraint failures that can be accessed with a dict syntax.
"""
def __init__(self, **failures) :
coll.UserDict.__init__(self, failures)
Exception.__init__(self)
print( isinstance(ConstraintFailureSet(), Exception)) #True
raise ConstraintFailureSet()
Related
What's the proper way to declare custom exception classes in modern Python? My primary goal is to follow whatever standard other exception classes have, so that (for instance) any extra string I include in the exception is printed out by whatever tool caught the exception.
By "modern Python" I mean something that will run in Python 2.5 but be 'correct' for the Python 2.6 and Python 3.* way of doing things. And by "custom" I mean an Exception object that can include extra data about the cause of the error: a string, maybe also some other arbitrary object relevant to the exception.
I was tripped up by the following deprecation warning in Python 2.6.2:
>>> class MyError(Exception):
... def __init__(self, message):
... self.message = message
...
>>> MyError("foo")
_sandbox.py:3: DeprecationWarning: BaseException.message has been deprecated as of Python 2.6
It seems crazy that BaseException has a special meaning for attributes named message. I gather from PEP-352 that attribute did have a special meaning in 2.5 they're trying to deprecate away, so I guess that name (and that one alone) is now forbidden? Ugh.
I'm also fuzzily aware that Exception has some magic parameter args, but I've never known how to use it. Nor am I sure it's the right way to do things going forward; a lot of the discussion I found online suggested they were trying to do away with args in Python 3.
Update: two answers have suggested overriding __init__, and __str__/__unicode__/__repr__. That seems like a lot of typing, is it necessary?
Maybe I missed the question, but why not:
class MyException(Exception):
pass
To override something (or pass extra args), do this:
class ValidationError(Exception):
def __init__(self, message, errors):
# Call the base class constructor with the parameters it needs
super().__init__(message)
# Now for your custom code...
self.errors = errors
That way you could pass dict of error messages to the second param, and get to it later with e.errors.
In Python 2, you have to use this slightly more complex form of super():
super(ValidationError, self).__init__(message)
With modern Python Exceptions, you don't need to abuse .message, or override .__str__() or .__repr__() or any of it. If all you want is an informative message when your exception is raised, do this:
class MyException(Exception):
pass
raise MyException("My hovercraft is full of eels")
That will give a traceback ending with MyException: My hovercraft is full of eels.
If you want more flexibility from the exception, you could pass a dictionary as the argument:
raise MyException({"message":"My hovercraft is full of animals", "animal":"eels"})
However, to get at those details in an except block is a bit more complicated. The details are stored in the args attribute, which is a list. You would need to do something like this:
try:
raise MyException({"message":"My hovercraft is full of animals", "animal":"eels"})
except MyException as e:
details = e.args[0]
print(details["animal"])
It is still possible to pass in multiple items to the exception and access them via tuple indexes, but this is highly discouraged (and was even intended for deprecation a while back). If you do need more than a single piece of information and the above method is not sufficient for you, then you should subclass Exception as described in the tutorial.
class MyError(Exception):
def __init__(self, message, animal):
self.message = message
self.animal = animal
def __str__(self):
return self.message
"What is the proper way to declare custom exceptions in modern Python?"
This is fine unless your exception is really a type of a more specific exception:
class MyException(Exception):
pass
Or better (maybe perfect), instead of pass give a docstring:
class MyException(Exception):
"""Raise for my specific kind of exception"""
Subclassing Exception Subclasses
From the docs
Exception
All built-in, non-system-exiting exceptions are derived from this class.
All user-defined exceptions should also be derived from this
class.
That means that if your exception is a type of a more specific exception, subclass that exception instead of the generic Exception (and the result will be that you still derive from Exception as the docs recommend). Also, you can at least provide a docstring (and not be forced to use the pass keyword):
class MyAppValueError(ValueError):
'''Raise when my specific value is wrong'''
Set attributes you create yourself with a custom __init__. Avoid passing a dict as a positional argument, future users of your code will thank you. If you use the deprecated message attribute, assigning it yourself will avoid a DeprecationWarning:
class MyAppValueError(ValueError):
'''Raise when a specific subset of values in context of app is wrong'''
def __init__(self, message, foo, *args):
self.message = message # without this you may get DeprecationWarning
# Special attribute you desire with your Error,
# perhaps the value that caused the error?:
self.foo = foo
# allow users initialize misc. arguments as any other builtin Error
super(MyAppValueError, self).__init__(message, foo, *args)
There's really no need to write your own __str__ or __repr__. The built-in ones are very nice, and your cooperative inheritance ensures that you use them.
Critique of the top answer
Maybe I missed the question, but why not:
class MyException(Exception):
pass
Again, the problem with the above is that in order to catch it, you'll either have to name it specifically (importing it if created elsewhere) or catch Exception, (but you're probably not prepared to handle all types of Exceptions, and you should only catch exceptions you are prepared to handle). Similar criticism to the below, but additionally that's not the way to initialize via super, and you'll get a DeprecationWarning if you access the message attribute:
Edit: to override something (or pass extra args), do this:
class ValidationError(Exception):
def __init__(self, message, errors):
# Call the base class constructor with the parameters it needs
super(ValidationError, self).__init__(message)
# Now for your custom code...
self.errors = errors
That way you could pass dict of error messages to the second param, and get to it later with e.errors
It also requires exactly two arguments to be passed in (aside from the self.) No more, no less. That's an interesting constraint that future users may not appreciate.
To be direct - it violates Liskov substitutability.
I'll demonstrate both errors:
>>> ValidationError('foo', 'bar', 'baz').message
Traceback (most recent call last):
File "<pyshell#10>", line 1, in <module>
ValidationError('foo', 'bar', 'baz').message
TypeError: __init__() takes exactly 3 arguments (4 given)
>>> ValidationError('foo', 'bar').message
__main__:1: DeprecationWarning: BaseException.message has been deprecated as of Python 2.6
'foo'
Compared to:
>>> MyAppValueError('foo', 'FOO', 'bar').message
'foo'
see how exceptions work by default if one vs more attributes are used (tracebacks omitted):
>>> raise Exception('bad thing happened')
Exception: bad thing happened
>>> raise Exception('bad thing happened', 'code is broken')
Exception: ('bad thing happened', 'code is broken')
so you might want to have a sort of "exception template", working as an exception itself, in a compatible way:
>>> nastyerr = NastyError('bad thing happened')
>>> raise nastyerr
NastyError: bad thing happened
>>> raise nastyerr()
NastyError: bad thing happened
>>> raise nastyerr('code is broken')
NastyError: ('bad thing happened', 'code is broken')
this can be done easily with this subclass
class ExceptionTemplate(Exception):
def __call__(self, *args):
return self.__class__(*(self.args + args))
# ...
class NastyError(ExceptionTemplate): pass
and if you don't like that default tuple-like representation, just add __str__ method to the ExceptionTemplate class, like:
# ...
def __str__(self):
return ': '.join(self.args)
and you'll have
>>> raise nastyerr('code is broken')
NastyError: bad thing happened: code is broken
As of Python 3.8 (2018, https://docs.python.org/dev/whatsnew/3.8.html), the recommended method is still:
class CustomExceptionName(Exception):
"""Exception raised when very uncommon things happen"""
pass
Please don't forget to document, why a custom exception is neccessary!
If you need to, this is the way to go for exceptions with more data:
class CustomExceptionName(Exception):
"""Still an exception raised when uncommon things happen"""
def __init__(self, message, payload=None):
self.message = message
self.payload = payload # you could add more args
def __str__(self):
return str(self.message) # __str__() obviously expects a string to be returned, so make sure not to send any other data types
and fetch them like:
try:
raise CustomExceptionName("Very bad mistake.", "Forgot upgrading from Python 1")
except CustomExceptionName as error:
print(str(error)) # Very bad mistake
print("Detail: {}".format(error.payload)) # Detail: Forgot upgrading from Python 1
payload=None is important to make it pickle-able. Before dumping it, you have to call error.__reduce__(). Loading will work as expected.
You maybe should investigate in finding a solution using pythons return statement if you need much data to be transferred to some outer structure. This seems to be clearer/more pythonic to me. Advanced exceptions are heavily used in Java, which can sometimes be annoying, when using a framework and having to catch all possible errors.
To define your own exceptions correctly, there are a few best practices that you should follow:
Define a base class inheriting from Exception. This will allow to easily catch any exceptions related to the project:
class MyProjectError(Exception):
"""A base class for MyProject exceptions."""
Organizing the exception classes in a separate module (e.g. exceptions.py) is generally a good idea.
To create a specific exception, subclass the base exception class.
class CustomError(MyProjectError):
"""A custom exception class for MyProject."""
You can subclass custom exception classes as well to create a hierarchy.
To add support for extra argument(s) to a custom exception, define an __init__() method with a variable number of arguments. Call the base class's __init__(), passing any positional arguments to it (remember that BaseException/Exception expect any number of positional arguments). Store extra keyword arguments to the instance, e.g.:
class CustomError(MyProjectError):
def __init__(self, *args, **kwargs):
super().__init__(*args)
self.custom_kwarg = kwargs.get('custom_kwargs')
Usage example:
try:
raise CustomError('Something bad happened', custom_kwarg='value')
except CustomError as exc:
print(f'Сaught CustomError exception with custom_kwarg={exc.custom_kwarg}')
This design adheres to the Liskov substitution principle, since you can replace an instance of a base exception class with an instance of a derived exception class. Also, it allows you to create an instance of a derived class with the same parameters as the parent.
You should override __repr__ or __unicode__ methods instead of using message, the args you provide when you construct the exception will be in the args attribute of the exception object.
See a very good article "The definitive guide to Python exceptions". The basic principles are:
Always inherit from (at least) Exception.
Always call BaseException.__init__ with only one argument.
When building a library, define a base class inheriting from Exception.
Provide details about the error.
Inherit from builtin exceptions types when it makes sense.
There is also information on organizing (in modules) and wrapping exceptions, I recommend to read the guide.
No, "message" is not forbidden. It's just deprecated. You application will work fine with using message. But you may want to get rid of the deprecation error, of course.
When you create custom Exception classes for your application, many of them do not subclass just from Exception, but from others, like ValueError or similar. Then you have to adapt to their usage of variables.
And if you have many exceptions in your application it's usually a good idea to have a common custom base class for all of them, so that users of your modules can do
try:
...
except NelsonsExceptions:
...
And in that case you can do __init__ and __str__ needed there, so you don't have to repeat it for every exception. But simply calling the message variable something else than message does the trick.
In any case, you only need __init__ or __str__ if you do something different from what Exception itself does. And because if the deprecation, you then need both, or you get an error. That's not a whole lot of extra code you need per class.
For maximum customisation, to define custom errors, you may want to define an intermediate class that inherits from Exception class as:
class BaseCustomException(Exception):
def __init__(self, msg):
self.msg = msg
def __repr__(self):
return self.msg
class MyCustomError(BaseCustomException):
"""raise my custom error"""
Try this Example
class InvalidInputError(Exception):
def __init__(self, msg):
self.msg = msg
def __str__(self):
return repr(self.msg)
inp = int(input("Enter a number between 1 to 10:"))
try:
if type(inp) != int or inp not in list(range(1,11)):
raise InvalidInputError
except InvalidInputError:
print("Invalid input entered")
A really simple approach:
class CustomError(Exception):
pass
raise CustomError("Hmm, seems like this was custom coded...")
Or, have the error raise without printing __main__ (may look cleaner and neater):
class CustomError(Exception):
__module__ = Exception.__module__
raise CustomError("Improved CustomError!")
I had issues with the above methods, as of Python 3.9.5.
However, I found that this works for me:
class MyException(Exception):
"""Port Exception"""
And then it could be used in code like:
try:
raise MyException('Message')
except MyException as err:
print (err)
I came across this thread. This is how I do custom exceptions. While the Fault class is slightly complex, it makes declaring custom expressive exceptions with variable arguments trivial.
FinalViolation, SingletonViolation are both sub classes of TypeError so will be caught code below.
try:
<do something>
except TypeError as ex:
<handler>
That's why Fault doesn't inherit from Exception. To allow derivative exceptions to inherit from the exception of their choice.
class Fault:
"""Generic Exception base class. Note not descendant of Exception
Inheriting exceptions override formats"""
formats = '' # to be overriden in descendant classes
def __init__(self, *args):
"""Just save args for __str__"""
self.args = args
def __str__(self):
"""Use formats declared in descendant classes, and saved args to build exception text"""
return self.formats.format(*self.args)
class TypeFault(Fault, TypeError):
"""Helper class mixing Fault and TypeError"""
class FinalViolation(TypeFault):
"""Custom exception raised if inheriting from 'final' class"""
formats = "type {} is not an acceptable base type. It cannot be inherited from."
class SingletonViolation(TypeFault):
"""Custom exception raised if instancing 'singleton' class a second time"""
formats = "type {} is a singleton. It can only be instanced once."
FinalViolation, SingletonViolation unfortunately only accept 1 argument.
But one could easily create a multi arg error e.g.
class VesselLoadingError(Fault, BufferError):
formats = "My {} is full of {}."
raise VesselLoadingError('hovercraft', 'eels')
__main__.VesselLoadingError: My hovercraft is full of eels.
For me it is just __init__ and variables but making sometimes testing.
My sample:
Error_codes = { 100: "Not enough parameters", 101: "Number of special characters more than limits", 102: "At least 18 alphanumeric characters and list of special chars !##$&*" }
class localbreak( Exception ) :
Message = ""
def __init__(self, Message):
self.Message = Message
return
def __str__(self):
print(self.Message)
return "False"
### When calling ...
raise localbreak(Error_codes[102])
Output:
Traceback (most recent call last): File "ASCII.py", line 150, in <module>
main(OldPassword, Newpassword) File "ASCII.py", line 39, in main
result = read_input("1", "2", Newpassword, "4")
File "ASCII.py", line 69, in read_input
raise localbreak(Error_codes[102]) At least 18 alphanumeric characters and list of special chars !##$&*
__main__.localbreak: False
What's the proper way to declare custom exception classes in modern Python? My primary goal is to follow whatever standard other exception classes have, so that (for instance) any extra string I include in the exception is printed out by whatever tool caught the exception.
By "modern Python" I mean something that will run in Python 2.5 but be 'correct' for the Python 2.6 and Python 3.* way of doing things. And by "custom" I mean an Exception object that can include extra data about the cause of the error: a string, maybe also some other arbitrary object relevant to the exception.
I was tripped up by the following deprecation warning in Python 2.6.2:
>>> class MyError(Exception):
... def __init__(self, message):
... self.message = message
...
>>> MyError("foo")
_sandbox.py:3: DeprecationWarning: BaseException.message has been deprecated as of Python 2.6
It seems crazy that BaseException has a special meaning for attributes named message. I gather from PEP-352 that attribute did have a special meaning in 2.5 they're trying to deprecate away, so I guess that name (and that one alone) is now forbidden? Ugh.
I'm also fuzzily aware that Exception has some magic parameter args, but I've never known how to use it. Nor am I sure it's the right way to do things going forward; a lot of the discussion I found online suggested they were trying to do away with args in Python 3.
Update: two answers have suggested overriding __init__, and __str__/__unicode__/__repr__. That seems like a lot of typing, is it necessary?
Maybe I missed the question, but why not:
class MyException(Exception):
pass
To override something (or pass extra args), do this:
class ValidationError(Exception):
def __init__(self, message, errors):
# Call the base class constructor with the parameters it needs
super().__init__(message)
# Now for your custom code...
self.errors = errors
That way you could pass dict of error messages to the second param, and get to it later with e.errors.
In Python 2, you have to use this slightly more complex form of super():
super(ValidationError, self).__init__(message)
With modern Python Exceptions, you don't need to abuse .message, or override .__str__() or .__repr__() or any of it. If all you want is an informative message when your exception is raised, do this:
class MyException(Exception):
pass
raise MyException("My hovercraft is full of eels")
That will give a traceback ending with MyException: My hovercraft is full of eels.
If you want more flexibility from the exception, you could pass a dictionary as the argument:
raise MyException({"message":"My hovercraft is full of animals", "animal":"eels"})
However, to get at those details in an except block is a bit more complicated. The details are stored in the args attribute, which is a list. You would need to do something like this:
try:
raise MyException({"message":"My hovercraft is full of animals", "animal":"eels"})
except MyException as e:
details = e.args[0]
print(details["animal"])
It is still possible to pass in multiple items to the exception and access them via tuple indexes, but this is highly discouraged (and was even intended for deprecation a while back). If you do need more than a single piece of information and the above method is not sufficient for you, then you should subclass Exception as described in the tutorial.
class MyError(Exception):
def __init__(self, message, animal):
self.message = message
self.animal = animal
def __str__(self):
return self.message
"What is the proper way to declare custom exceptions in modern Python?"
This is fine unless your exception is really a type of a more specific exception:
class MyException(Exception):
pass
Or better (maybe perfect), instead of pass give a docstring:
class MyException(Exception):
"""Raise for my specific kind of exception"""
Subclassing Exception Subclasses
From the docs
Exception
All built-in, non-system-exiting exceptions are derived from this class.
All user-defined exceptions should also be derived from this
class.
That means that if your exception is a type of a more specific exception, subclass that exception instead of the generic Exception (and the result will be that you still derive from Exception as the docs recommend). Also, you can at least provide a docstring (and not be forced to use the pass keyword):
class MyAppValueError(ValueError):
'''Raise when my specific value is wrong'''
Set attributes you create yourself with a custom __init__. Avoid passing a dict as a positional argument, future users of your code will thank you. If you use the deprecated message attribute, assigning it yourself will avoid a DeprecationWarning:
class MyAppValueError(ValueError):
'''Raise when a specific subset of values in context of app is wrong'''
def __init__(self, message, foo, *args):
self.message = message # without this you may get DeprecationWarning
# Special attribute you desire with your Error,
# perhaps the value that caused the error?:
self.foo = foo
# allow users initialize misc. arguments as any other builtin Error
super(MyAppValueError, self).__init__(message, foo, *args)
There's really no need to write your own __str__ or __repr__. The built-in ones are very nice, and your cooperative inheritance ensures that you use them.
Critique of the top answer
Maybe I missed the question, but why not:
class MyException(Exception):
pass
Again, the problem with the above is that in order to catch it, you'll either have to name it specifically (importing it if created elsewhere) or catch Exception, (but you're probably not prepared to handle all types of Exceptions, and you should only catch exceptions you are prepared to handle). Similar criticism to the below, but additionally that's not the way to initialize via super, and you'll get a DeprecationWarning if you access the message attribute:
Edit: to override something (or pass extra args), do this:
class ValidationError(Exception):
def __init__(self, message, errors):
# Call the base class constructor with the parameters it needs
super(ValidationError, self).__init__(message)
# Now for your custom code...
self.errors = errors
That way you could pass dict of error messages to the second param, and get to it later with e.errors
It also requires exactly two arguments to be passed in (aside from the self.) No more, no less. That's an interesting constraint that future users may not appreciate.
To be direct - it violates Liskov substitutability.
I'll demonstrate both errors:
>>> ValidationError('foo', 'bar', 'baz').message
Traceback (most recent call last):
File "<pyshell#10>", line 1, in <module>
ValidationError('foo', 'bar', 'baz').message
TypeError: __init__() takes exactly 3 arguments (4 given)
>>> ValidationError('foo', 'bar').message
__main__:1: DeprecationWarning: BaseException.message has been deprecated as of Python 2.6
'foo'
Compared to:
>>> MyAppValueError('foo', 'FOO', 'bar').message
'foo'
see how exceptions work by default if one vs more attributes are used (tracebacks omitted):
>>> raise Exception('bad thing happened')
Exception: bad thing happened
>>> raise Exception('bad thing happened', 'code is broken')
Exception: ('bad thing happened', 'code is broken')
so you might want to have a sort of "exception template", working as an exception itself, in a compatible way:
>>> nastyerr = NastyError('bad thing happened')
>>> raise nastyerr
NastyError: bad thing happened
>>> raise nastyerr()
NastyError: bad thing happened
>>> raise nastyerr('code is broken')
NastyError: ('bad thing happened', 'code is broken')
this can be done easily with this subclass
class ExceptionTemplate(Exception):
def __call__(self, *args):
return self.__class__(*(self.args + args))
# ...
class NastyError(ExceptionTemplate): pass
and if you don't like that default tuple-like representation, just add __str__ method to the ExceptionTemplate class, like:
# ...
def __str__(self):
return ': '.join(self.args)
and you'll have
>>> raise nastyerr('code is broken')
NastyError: bad thing happened: code is broken
As of Python 3.8 (2018, https://docs.python.org/dev/whatsnew/3.8.html), the recommended method is still:
class CustomExceptionName(Exception):
"""Exception raised when very uncommon things happen"""
pass
Please don't forget to document, why a custom exception is neccessary!
If you need to, this is the way to go for exceptions with more data:
class CustomExceptionName(Exception):
"""Still an exception raised when uncommon things happen"""
def __init__(self, message, payload=None):
self.message = message
self.payload = payload # you could add more args
def __str__(self):
return str(self.message) # __str__() obviously expects a string to be returned, so make sure not to send any other data types
and fetch them like:
try:
raise CustomExceptionName("Very bad mistake.", "Forgot upgrading from Python 1")
except CustomExceptionName as error:
print(str(error)) # Very bad mistake
print("Detail: {}".format(error.payload)) # Detail: Forgot upgrading from Python 1
payload=None is important to make it pickle-able. Before dumping it, you have to call error.__reduce__(). Loading will work as expected.
You maybe should investigate in finding a solution using pythons return statement if you need much data to be transferred to some outer structure. This seems to be clearer/more pythonic to me. Advanced exceptions are heavily used in Java, which can sometimes be annoying, when using a framework and having to catch all possible errors.
To define your own exceptions correctly, there are a few best practices that you should follow:
Define a base class inheriting from Exception. This will allow to easily catch any exceptions related to the project:
class MyProjectError(Exception):
"""A base class for MyProject exceptions."""
Organizing the exception classes in a separate module (e.g. exceptions.py) is generally a good idea.
To create a specific exception, subclass the base exception class.
class CustomError(MyProjectError):
"""A custom exception class for MyProject."""
You can subclass custom exception classes as well to create a hierarchy.
To add support for extra argument(s) to a custom exception, define an __init__() method with a variable number of arguments. Call the base class's __init__(), passing any positional arguments to it (remember that BaseException/Exception expect any number of positional arguments). Store extra keyword arguments to the instance, e.g.:
class CustomError(MyProjectError):
def __init__(self, *args, **kwargs):
super().__init__(*args)
self.custom_kwarg = kwargs.get('custom_kwargs')
Usage example:
try:
raise CustomError('Something bad happened', custom_kwarg='value')
except CustomError as exc:
print(f'Сaught CustomError exception with custom_kwarg={exc.custom_kwarg}')
This design adheres to the Liskov substitution principle, since you can replace an instance of a base exception class with an instance of a derived exception class. Also, it allows you to create an instance of a derived class with the same parameters as the parent.
You should override __repr__ or __unicode__ methods instead of using message, the args you provide when you construct the exception will be in the args attribute of the exception object.
See a very good article "The definitive guide to Python exceptions". The basic principles are:
Always inherit from (at least) Exception.
Always call BaseException.__init__ with only one argument.
When building a library, define a base class inheriting from Exception.
Provide details about the error.
Inherit from builtin exceptions types when it makes sense.
There is also information on organizing (in modules) and wrapping exceptions, I recommend to read the guide.
No, "message" is not forbidden. It's just deprecated. You application will work fine with using message. But you may want to get rid of the deprecation error, of course.
When you create custom Exception classes for your application, many of them do not subclass just from Exception, but from others, like ValueError or similar. Then you have to adapt to their usage of variables.
And if you have many exceptions in your application it's usually a good idea to have a common custom base class for all of them, so that users of your modules can do
try:
...
except NelsonsExceptions:
...
And in that case you can do __init__ and __str__ needed there, so you don't have to repeat it for every exception. But simply calling the message variable something else than message does the trick.
In any case, you only need __init__ or __str__ if you do something different from what Exception itself does. And because if the deprecation, you then need both, or you get an error. That's not a whole lot of extra code you need per class.
For maximum customisation, to define custom errors, you may want to define an intermediate class that inherits from Exception class as:
class BaseCustomException(Exception):
def __init__(self, msg):
self.msg = msg
def __repr__(self):
return self.msg
class MyCustomError(BaseCustomException):
"""raise my custom error"""
Try this Example
class InvalidInputError(Exception):
def __init__(self, msg):
self.msg = msg
def __str__(self):
return repr(self.msg)
inp = int(input("Enter a number between 1 to 10:"))
try:
if type(inp) != int or inp not in list(range(1,11)):
raise InvalidInputError
except InvalidInputError:
print("Invalid input entered")
A really simple approach:
class CustomError(Exception):
pass
raise CustomError("Hmm, seems like this was custom coded...")
Or, have the error raise without printing __main__ (may look cleaner and neater):
class CustomError(Exception):
__module__ = Exception.__module__
raise CustomError("Improved CustomError!")
I had issues with the above methods, as of Python 3.9.5.
However, I found that this works for me:
class MyException(Exception):
"""Port Exception"""
And then it could be used in code like:
try:
raise MyException('Message')
except MyException as err:
print (err)
I came across this thread. This is how I do custom exceptions. While the Fault class is slightly complex, it makes declaring custom expressive exceptions with variable arguments trivial.
FinalViolation, SingletonViolation are both sub classes of TypeError so will be caught code below.
try:
<do something>
except TypeError as ex:
<handler>
That's why Fault doesn't inherit from Exception. To allow derivative exceptions to inherit from the exception of their choice.
class Fault:
"""Generic Exception base class. Note not descendant of Exception
Inheriting exceptions override formats"""
formats = '' # to be overriden in descendant classes
def __init__(self, *args):
"""Just save args for __str__"""
self.args = args
def __str__(self):
"""Use formats declared in descendant classes, and saved args to build exception text"""
return self.formats.format(*self.args)
class TypeFault(Fault, TypeError):
"""Helper class mixing Fault and TypeError"""
class FinalViolation(TypeFault):
"""Custom exception raised if inheriting from 'final' class"""
formats = "type {} is not an acceptable base type. It cannot be inherited from."
class SingletonViolation(TypeFault):
"""Custom exception raised if instancing 'singleton' class a second time"""
formats = "type {} is a singleton. It can only be instanced once."
FinalViolation, SingletonViolation unfortunately only accept 1 argument.
But one could easily create a multi arg error e.g.
class VesselLoadingError(Fault, BufferError):
formats = "My {} is full of {}."
raise VesselLoadingError('hovercraft', 'eels')
__main__.VesselLoadingError: My hovercraft is full of eels.
For me it is just __init__ and variables but making sometimes testing.
My sample:
Error_codes = { 100: "Not enough parameters", 101: "Number of special characters more than limits", 102: "At least 18 alphanumeric characters and list of special chars !##$&*" }
class localbreak( Exception ) :
Message = ""
def __init__(self, Message):
self.Message = Message
return
def __str__(self):
print(self.Message)
return "False"
### When calling ...
raise localbreak(Error_codes[102])
Output:
Traceback (most recent call last): File "ASCII.py", line 150, in <module>
main(OldPassword, Newpassword) File "ASCII.py", line 39, in main
result = read_input("1", "2", Newpassword, "4")
File "ASCII.py", line 69, in read_input
raise localbreak(Error_codes[102]) At least 18 alphanumeric characters and list of special chars !##$&*
__main__.localbreak: False
I'm writing a simple XML serializer and caught a strange problem. If an object being serialized inherited from object explicitly everything works fine - I can serialize and deserialize it.
But if I don't specify object explicitly, it fails to deserialize despite the fact object is in mro:
i.e.
class ScanResults(object):
works fine, but
class ScanResults:
doesn't work
MRO :[<class 'aplib.scanresults.ScanResults'>, <class 'aplib.pyxmlser.pyxmlser'>, <type 'object'>]
Traceback (most recent call last):
...
classinst = classobj.__new__(classobj, None, None)
AttributeError: class AccessPoint has no attribute '__new__'
Any ideas is much appreciated.
Old-style classes (those not derived from object) don't have __new__().
One way to test if an instance is an old-style clase (which fail) is to use
type(my_instance) is types.InstanceType
which will evaluate to True for old-style classes.
some input about why use __new()__ and how to check in a more clean way for the creation of a new instance:
https://mail.python.org/pipermail/tutor/2008-April/061426.html
tips for overwritting the __new()__ method to be found here.
The Python documentation for except says:
For an except clause with an
expression, that expression is
evaluated, and the clause matches the
exception if the resulting object is
“compatible” with the exception. An
object is compatible with an exception
if it is the class or a base class of the exception object, [...]
Why doesn't except use isinstance instead of comparing base classes? This is preventing the use of __instancecheck__ to override the instance check.
EDIT:
I can understand that one of the reasons this doesn't exist is that no one considered it. But are there any reasons why this should not be implemented?
EDIT:
Shell session from Python 3.2a showing that trying to use __subclasscheck__ for this doesn't work:
>>> class MyType(type): __subclasscheck__ = lambda cls, other_cls: True
>>> class O(Exception, metaclass=MyType): pass
>>> issubclass(3, O)
0: True
>>> issubclass(int, O)
1: True
>>> try:
... 1/0
... except O:
... print('Success')
Traceback (most recent call last):
File "<pyshell#4>", line 2, in <module>
1/0
ZeroDivisionError: division by zero
>>>
The simple answer is probably that nobody considered it. A more complex answer would be that nobody considered it because it's hard to get this right, because it would mean executing potentially arbitrary Python code while handling an exception, and that it is of dubious value. Exception classes in Python are typically very simple classes, and overloading them with functionality is often a mistake. It's hard to imagine a case for having it consult __instancecheck__. If you have such a case (with or without a patch), file a bug and someone might pick it up.
But are there any reasons why this
should not be implemented?
Can you give an example where this would be useful?
When you do this:
class SomeMeta(type):
def __subclasscheck__(cls, sub):
print (cls, sub)
return True
class Something(Exception):
pass
class SomeType(Exception):
__metaclass__ = SomeMeta
try:
raise Something()
except SomeType, e:
pass
# prints (<class '__main__.SomeType'>, <class '__main__.Something'>)
Python calls __subclasscheck__ on SomeType's metaclass to determine if Something a subclass of SomeType. The Metaclass PEP talks about this in more detail.
I tried to subclass threading.Condition earlier today but it didn't work out. Here is the output of the Python interpreter when I try to subclass the threading.Condition class:
>>> import threading
>>> class ThisWontWork(threading.Condition):
... pass
...
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
TypeError: Error when calling the metaclass bases
function() argument 1 must be code, not str
Can someone explain this error? Thanks!
You're getting that exception because, despite its class-like name, threading.Condition is a function, and you cannot subclass functions.
>>> type(threading.Condition)
<type 'function'>
This not-very-helpful error message has been raised on the Python bugtracker, but it has been marked "won't fix."
Different problem than OP had, but you can also get this error if you try to subclass from a module instead of a class (e.g. you try to inherit My.Module instead of My.Module.Class). Kudos to this post for helping me figure this out.
TypeError: Error when calling the metaclass bases
For this one, the answer is that you probably named a python class the
same thing as the module (i.e., the file) that it's in. You then
imported the module and attempted to use it like a class. You did this
because you, like me, were probably a Java programmer not that long
ago :-). The way to fix it is to import the module.class instead of
just the module. Or, for sanity's sake, change the name of the class
or the module so that it's more obvious what's being imported.
With respect to subclassing a module, this is a really easy mistake to make if you have, for example, class Foo defined in a file Foo.py.
When you create a subclass of Foo in a different file, you might accidentally do the following (this is an attempt to subclass a module and will result in an error):
import Foo
class SubclassOfFoo(Foo):
when you really need to do either:
from Foo import Foo
class SubclassOfFoo(Foo):
or:
import Foo
class SubclassofFoo(Foo.Foo):
Gotten into the same problem. Finally solved by taking a keen look at the code and this is where the TypeError that alarms about a string instead of code comes about..
Class Class_name(models.model): //(gives a TypeError of 'str' type)
"And"
Class Class_name(models.Model): // is the correct one.
Notice that specific error comes about because of a single lowercase letter to the code "Model" which in turn makes it a string