python.ConfigurableMeta.ConfigurableMeta Class Reference

this metaclass installs PropertyProxy descriptors for Gaudi properties More...

Inheritance diagram for python.ConfigurableMeta.ConfigurableMeta:

Collaboration diagram for python.ConfigurableMeta.ConfigurableMeta:

Public Member Functions
def	__new__ (self, name, bases, dct)
def	__call__ (cls, *args, **kwargs)

Detailed Description

this metaclass installs PropertyProxy descriptors for Gaudi properties

The setting of Gaudi component properties needs to be deferred and
   history of who set what where needs to be collected. This is done
   by using PropertyProxy descriptors rather than the default ones.

Definition at line 22 of file ConfigurableMeta.py.

Member Function Documentation

__call__()

def python.ConfigurableMeta.ConfigurableMeta.__call__	(		cls,
		*	args,
		**	kwargs
	)

To Gaudi, any object with the same type/name is the same object. Hence,
   this is mimicked in the configuration: instantiating a new Configurable
   of a type with the same name will return the same instance.

Definition at line 95 of file ConfigurableMeta.py.

   def __call__( cls, *args, **kwargs ):
      """To Gaudi, any object with the same type/name is the same object. Hence,
         this is mimicked in the configuration: instantiating a new Configurable
         of a type with the same name will return the same instance."""
 
    # Get the instance: `singleton' logic needs to be in __new__, not here,
    # for compatibililty with pickling.)
      cfg = cls.__new__( cls, *args, **kwargs )
 
    # Initialize the object, if not done already.
      if cfg and ( not hasattr(cfg, '_fInitOk') or not cfg._fInitOk ):
         cls.__init__( cfg, *args, **kwargs )
 
      return cfg

__new__()

def python.ConfigurableMeta.ConfigurableMeta.__new__	(		self,
			name,
			bases,
			dct
	)

Definition at line 27 of file ConfigurableMeta.py.

   def __new__( self, name, bases, dct ):
    # enforce use of classmethod for getType() and setDefaults()
      if 'getType' in dct and not isinstance( dct[ 'getType' ], classmethod ):
         dct[ 'getType' ] = classmethod( dct[ 'getType' ] )
 
      if 'setDefaults' in dct and not isinstance( dct[ 'setDefaults' ], classmethod ):
         dct[ 'setDefaults' ] = classmethod( dct[ 'setDefaults' ] )
 
    # collect what are properties (basically, any public name; C++ variables
    # shouldn't start with an '_' because of portability constraints, hence
    # it is safe to assume that any such vars are python private ones)
      newclass = type.__new__( self, name, bases, dct )
 
      if 'AthenaCommon' not in newclass.__module__:
       # check for required methods and the right number of arguments
       # meths = { 'getServices'   : 1,    # retrieve list of services to configure
         meths = { 'getDlls'       : 1,    # provide list of Dlls to load
                   'getGaudiType'  : 1,    # return string describing component class
                   'getHandle'     : 1,    # provide access to C++ side component instance
                   'getType'       : 1 }   # return the type of the actual C++ component
 
         for meth, nArgs in meths.items():
            try:
               f = getattr( newclass, meth )
            except AttributeError:
               raise NotImplementedError("%s is missing in class %s" % (meth,str(newclass)))
 
          # in addition, verify the number of arguments w/o defaults
            nargcount = f.__code__.co_argcount
            dflts = f.__defaults__
            ndefaults = dflts and len(dflts) or 0
            if not nargcount - ndefaults <= nArgs <= nargcount:
               raise TypeError("%s.%s requires exactly %d arguments" % (newclass,meth,nArgs))
 
    # cache references of instances by name for duplicate removal
      newclass.configurables = weakref.WeakValueDictionary()
 
    # loop over slots, which are all assumed to be properties, create proxies, defaults
      properties = {}
      slots = dct.get( '__slots__' )
      if slots:
         props = [ x for x in slots if x[0] != '_' ]
         propDict = dct.get('_propertyDocDct')
         for prop in props:
            docString = propDict and propDict.get(prop)
            if type(slots) is dict:
               default = slots[prop]
            else:
               default = None
            proxy = PropertyProxy.PropertyProxyFactory(
               getattr( newclass, prop ), docString, default )
 
            properties[ prop ] = proxy
            setattr( newclass, prop, proxy )
 
    # complete set of properties includes those from base classes
      for base in bases:
         try:
            bprops = base._properties.copy()
            bprops.update( properties )
            properties = bprops
         except AttributeError:
            pass
 
      newclass._properties = properties
 
      return newclass
 

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The documentation for this class was generated from the following file:

• ConfigurableMeta.py