classes

[Pablo]

Hello everyone

I have a problem with classes and hope someone can help me.
I'm used to Java and want to make a singleton class which would allow to
create only one instance of the class.
In Java it looks as follows:
public class DBConnection{
private static DBConnection instance = null;
private Conn conn = null; // it is supposed to be object returned be
pg.connect() method of the PyGreSQL module

/* a constructor must be private to forbid instantiation of the class */
private DBConnection(){
conn = new Conn();
}

public static DBConnection getInstance(){
if(instance == null)
instance = new DBConnection();
return instance;
}
};

How can I do the same in Python?
My main problems are:
1) how to declare a static field (class field not object field)
2) how to declare a static method
3) how to declare a private constructor (is it possible?)

Can someone help me or point me to some documentation with strong emphasis
on classes? It would be perfect if that documentation had some comparisons
with classes in Java or C++.

Best regards
Pablo

[Dan Bishop]

"Pablo" <pa***@bogus.domain.org> wrote in message news:<pa****************************@bogus.domain. org>...

Hello everyone

I have a problem with classes and hope someone can help me.
I'm used to Java and want to make a singleton class which would allow to
create only one instance of the class. ....[snip]... How can I do the same in Python?
My main problems are:
1) how to declare a static field (class field not object field)
<nitpick>You can't. There are no variable declarations in
Python.</nitpick> You can use static fields, though.

class HasStaticField: .... field = 4
.... HasStaticField.field

4
2) how to declare a static method
class HasStaticMethod:
def method(arg0, arg1): # note the lack of "self"
# do something with arg0 and arg1
method = staticmethod(method)
3) how to declare a private constructor (is it possible?)

It's not possible (afaik) to define a private constructor. But it is
possible to enforce that a constructor can be called only once.

class SingletonError(Exception):
pass

class Singleton:
__instance = None
def __init__(self):
if Singleton.__instance is None:
# initialization code
Singleton.__instance = self
else:
raise SingletonError()
def getInstance():
if Singleton.__instance is None:
Singleton()
return Singleton.__instance
getInstance = staticmethod(getInstance)

[Pablo]

[cut]

2) how to declare a static method

class HasStaticMethod:
def method(arg0, arg1): # note the lack of "self"
# do something with arg0 and arg1
method = staticmethod(method)

That's not exactly what I wanted.
I would prefer something like this:
class StaticMethod:
__instance = None
def __init__(self):
if StaticMethod.__instance is None:
StaticMethod.__instance = self
else:
raise Exception("Constructor may be invoked only once")
def getInstance():
if StaticMethod.__instance is None:
StaticMethod.__instance = StaticMethod()
return StaticMethod.__instance

m = StaticMethod.getInstance()
but Python does not allow to invoke any class method without providing an
instance of the class object

I've been thinking about Python classes and modules and found out that it
is possible in Python to create an object in some module and use a
reference to it from other modules. In Java it's not possible to create
any object outside of any class.
So my problem would be solved if I could create a class which would be
seen only in its module (something like private class). Then I could
create an object and simply use it across my application.
It would behave like a static object since it
wouldn't be possible to create another object in other modules (since the
class would be visible only it its module), and it also wouldn't be
possible to create another object in its module (there is no reason for
it).

Is it possible to create a class and forbid its use outside its module?
Thanks for a usefull reply.
Pablo

[Steven Taschuk]

Quoth Michele Simionato:

Steven Taschuk <st******@telusplanet.net> wrote in message news:<ma**********************************@python. org>...

[...]

_the_instance = None
class MySingleton(object):
def __new__(self):
global _the_instance
if _the_instance is None:
_the_instance = object.__new__(self)
return _the_instance

Why are you using a global here and not [a class attribute]

The memory of that thread a little while back about using __del__
with singletons. If the instance is referenced by a class
attribute, the cyclic reference prevents the __del__ from being
used. If the cycle goes through a module attribute, though, the
zapping of module dicts during shutdown breaks the cycle and lets
the __del__ run. (Whether all this is true depends on the version
of Python, I think, but I don't know the details.)

This might be relevant to the OP, whose example was a singleton
representing the single database connection used by an entire
application -- in such a case, __del__ would be a natural place to
make sure the connection is closed properly.

I should have explained this bit of trickery. :(

[...]

Second approach: Use a metaclass. See
<http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/102187>

Unfortunately, I see that this recipe is not very recommendable. I have
just submitted a fix which seems to work:

[...]

Nice!

--
Steven Taschuk Aral: "Confusion to the enemy, boy."
st******@telusplanet.net Mark: "Turn-about is fair play, sir."
-- _Mirror Dance_, Lois McMaster Bujold

[Michele Simionato]

Steven Taschuk <st******@telusplanet.net> wrote in message news:<ma**********************************@python. org>...

Quoth Michele Simionato:

Steven Taschuk <st******@telusplanet.net> wrote in message news:<ma**********************************@python. org>...

[...]

_the_instance = None
class MySingleton(object):
def __new__(self):
global _the_instance
if _the_instance is None:
_the_instance = object.__new__(self)
return _the_instance

Why are you using a global here and not [a class attribute]

The memory of that thread a little while back about using __del__
with singletons. If the instance is referenced by a class
attribute, the cyclic reference prevents the __del__ from being
used. If the cycle goes through a module attribute, though, the
zapping of module dicts during shutdown breaks the cycle and lets
the __del__ run. (Whether all this is true depends on the version
of Python, I think, but I don't know the details.)

This might be relevant to the OP, whose example was a singleton
representing the single database connection used by an entire
application -- in such a case, __del__ would be a natural place to
make sure the connection is closed properly.

I should have explained this bit of trickery. :(

Thanks for the explation, I missed that thread.

Michele