def get_random_param_set(self):
"""Returns a list of parameter values. This is a parameter set that is
chosen at random from the dataset."""
if not self.param_sets:
return None
param_set_key = utils.get_random_choice(self.param_sets)
return ParamSet.get_by_id(param_set_key.id())
def transition(self, answer, params, handler_name):
"""Handle feedback interactions with readers."""
recorded_answer = answer
# TODO(sll): This is a special case for multiple-choice input
# which should really be handled generically.
if self.widget.widget_id == 'interactive-MultipleChoiceInput':
recorded_answer = self.widget.params['choices'][int(answer)]
handlers = [h for h in self.widget.handlers if h.name == handler_name]
if not handlers:
raise Exception('No handlers found for %s' % handler_name)
handler = handlers[0]
if handler.classifier is None:
selected_rule = handler.rules[0]
else:
# Import the relevant classifier module.
classifier_module = '.'.join([
feconf.SAMPLE_CLASSIFIERS_DIR.replace('/', '.'),
handler.classifier, handler.classifier])
Classifier = importlib.import_module(classifier_module)
norm_answer = Classifier.DEFAULT_NORMALIZER().normalize(answer)
if norm_answer is None:
raise Exception('Could not normalize %s.' % answer)
selected_rule = self.find_first_match(
handler, Classifier, norm_answer, params)
feedback = (utils.get_random_choice(selected_rule.feedback)
if selected_rule.feedback else '')
return selected_rule.dest, feedback, selected_rule, recorded_answer
def value(self):
if not self.values:
return None
return utils.get_random_choice(self.values)