def post(self, unused_exploration_id):
"""Handle POST requests.
Note: unused_exploration_id is needed because
@acl_decorators.can_play_exploration needs 2 arguments.
"""
# A domain object representing the old state.
old_state = exp_domain.State.from_dict(self.payload.get('old_state'))
# The learner's raw answer.
answer = self.payload.get('answer')
# The learner's parameter values.
params = self.payload.get('params')
params['answer'] = answer
result = classifier_services.classify(old_state, answer)
self.render_json(result)
def post(self, unused_exploration_id):
"""Handle POST requests.
Note: unused_exploration_id is needed because @require_playable needs 2
arguments.
"""
# A domain object representing the old state.
old_state = exp_domain.State.from_dict(self.payload.get('old_state'))
# The learner's raw answer.
answer = self.payload.get('answer')
# The learner's parameter values.
params = self.payload.get('params')
params['answer'] = answer
result = classifier_services.classify(old_state, answer)
self.render_json(result)
def _is_string_classifier_called(self, answer):
sc = classifier_registry.Registry.get_classifier_by_algorithm_id(
feconf.INTERACTION_CLASSIFIER_MAPPING['TextInput']['algorithm_id'])
string_classifier_predict = (sc.__class__.predict)
predict_counter = test_utils.CallCounter(string_classifier_predict)
with self.swap(sc.__class__, 'predict', predict_counter):
response = classifier_services.classify(self.exp_state, answer)
answer_group_index = response['answer_group_index']
rule_spec_index = response['rule_spec_index']
answer_groups = self.exp_state.interaction.answer_groups
if answer_group_index == len(answer_groups):
return 'default'
answer_group = answer_groups[answer_group_index]
return (answer_group.get_classifier_rule_index() == rule_spec_index
and predict_counter.times_called == 1)
def _is_string_classifier_called(self, answer):
sc = classifier_registry.Registry.get_classifier_by_algorithm_id(
feconf.INTERACTION_CLASSIFIER_MAPPING['TextInput'])
string_classifier_predict = (
sc.__class__.predict)
predict_counter = test_utils.CallCounter(
string_classifier_predict)
with self.swap(sc.__class__, 'predict', predict_counter):
response = classifier_services.classify(self.exp_state, answer)
answer_group_index = response['answer_group_index']
rule_spec_index = response['rule_spec_index']
answer_groups = self.exp_state.interaction.answer_groups
if answer_group_index == len(answer_groups):
return 'default'
answer_group = answer_groups[answer_group_index]
return (answer_group.get_classifier_rule_index() == rule_spec_index and
predict_counter.times_called == 1)