def _predictor_init(self, set_conf=0, predictor=None):
""" """
__traceback_info__ = (self.module,)
if predictor is None:
predictor = self._load_predictor()
else:
self._v_predictor = predictor
# check this is a valid predictor
if not hasattr(predictor, "__class__"):
raise Plone4BioException("Invalid predictor : predictor is not a class")
if not IPredictor.providedBy(predictor):
raise Plone4BioException("Invalid predictor : IPredictor is not implemented by %s" % predictor.__class__)
# if not hasattr(predictor, 'run'):
# raise Plone4BioException('Invalid predictor : missing required "run" attribute')
# manage configuration
if set_conf and hasattr(predictor, "config"):
conf = dict(predictor.config)
self._config.update(conf)
make_config_persistent(self._config)
if hasattr(predictor, "config_metadata"):
conf = dict(predictor.config_metadata)
self._config_metadata.update(conf)
make_config_persistent(self._config_metadata)
predictor.config = dict(self._config)
make_config_nonpersistent(predictor.config)
predictor.config_metadata = dict(self._config_metadata)
make_config_nonpersistent(predictor.config_metadata)
# self.inputs = predictor.inputs
# self.output = predictor.output
# self.output_encoding = getattr(predictor, 'output_encoding', None)
return predictor
def _predictor_init(self, set_conf=0, predictor=None):
""" """
__traceback_info__ = (self.module, )
if predictor is None:
predictor = self._load_predictor()
else:
self._v_predictor = predictor
# check this is a valid predictor
if not hasattr(predictor, '__class__'):
raise Plone4BioException(
'Invalid predictor : predictor is not a class')
if not IPredictor.providedBy(predictor):
raise Plone4BioException(
'Invalid predictor : IPredictor is not implemented by %s' %
predictor.__class__)
# if not hasattr(predictor, 'run'):
# raise Plone4BioException('Invalid predictor : missing required "run" attribute')
# manage configuration
if set_conf and hasattr(predictor, 'config'):
conf = dict(predictor.config)
self._config.update(conf)
make_config_persistent(self._config)
if hasattr(predictor, 'config_metadata'):
conf = dict(predictor.config_metadata)
self._config_metadata.update(conf)
make_config_persistent(self._config_metadata)
predictor.config = dict(self._config)
make_config_nonpersistent(predictor.config)
predictor.config_metadata = dict(self._config_metadata)
make_config_nonpersistent(predictor.config_metadata)
# self.inputs = predictor.inputs
# self.output = predictor.output
# self.output_encoding = getattr(predictor, 'output_encoding', None)
return predictor
def registerPredictor(self, predictor):
"""register a new predictor
"""
# needed when call from transform.transforms.initialize which
# register non zope transform
module = str(predictor.__module__)
predictor = Predictor(predictor.name(), module, predictor)
if not IPredictor.providedBy(predictor):
raise Plone4BioException('%s does not implement IPredictor' % predictor)
name = predictor.name()
__traceback_info__ = (name, predictor)
if name not in self.objectIds():
self._setObject(name, predictor)
self._mapPredictor(predictor)
def registerPredictor(self, predictor):
"""register a new predictor
"""
# needed when call from transform.transforms.initialize which
# register non zope transform
module = str(predictor.__module__)
predictor = Predictor(predictor.name(), module, predictor)
if not IPredictor.providedBy(predictor):
raise Plone4BioException('%s does not implement IPredictor' %
predictor)
name = predictor.name()
__traceback_info__ = (name, predictor)
if name not in self.objectIds():
self._setObject(name, predictor)
self._mapPredictor(predictor)