def setUp(self): super(NextJobHandlerTest, self).setUp() self.exp_id = 'exp_id1' self.title = 'Testing Classifier storing' self.category = 'Test' interaction_id = 'TextInput' self.algorithm_id = feconf.INTERACTION_CLASSIFIER_MAPPING[ interaction_id]['algorithm_id'] self.algorithm_version = feconf.INTERACTION_CLASSIFIER_MAPPING[ interaction_id]['algorithm_version'] self.training_data = [{ u'answer_group_index': 1, u'answers': [u'a1', u'a2'] }, { u'answer_group_index': 2, u'answers': [u'a2', u'a3'] }] self.job_id = classifier_models.ClassifierTrainingJobModel.create( self.algorithm_id, interaction_id, self.exp_id, 1, datetime.datetime.utcnow(), self.training_data, 'Home', feconf.TRAINING_JOB_STATUS_NEW, 1) self.classifier_data = text_classifier_pb2.TextClassifierFrozenModel() self.classifier_data.model_json = '' fs_services.save_classifier_data(self.exp_id, self.job_id, self.classifier_data) self.expected_response = { u'job_id': self.job_id, u'training_data': self.training_data, u'algorithm_id': self.algorithm_id, u'algorithm_version': self.algorithm_version } self.payload = {} self.payload['vm_id'] = feconf.DEFAULT_VM_ID secret = feconf.DEFAULT_VM_SHARED_SECRET self.payload['message'] = json.dumps({}) self.payload['signature'] = classifier_services.generate_signature( python_utils.convert_to_bytes(secret), python_utils.convert_to_bytes(self.payload['message']), self.payload['vm_id'])
def setUp(self): super(TrainedClassifierHandlerTests, self).setUp() self.exp_id = 'exp_id1' self.title = 'Testing Classifier storing' self.category = 'Test' yaml_path = os.path.join(feconf.TESTS_DATA_DIR, 'string_classifier_test.yaml') with python_utils.open_file(yaml_path, 'r') as yaml_file: self.yaml_content = yaml_file.read() self.signup(self.CURRICULUM_ADMIN_EMAIL, self.CURRICULUM_ADMIN_USERNAME) self.signup('*****@*****.**', 'mod') assets_list = [] with self.swap(feconf, 'ENABLE_ML_CLASSIFIERS', True): exp_services.save_new_exploration_from_yaml_and_assets( feconf.SYSTEM_COMMITTER_ID, self.yaml_content, self.exp_id, assets_list) self.exploration = exp_fetchers.get_exploration_by_id(self.exp_id) self.algorithm_id = feconf.INTERACTION_CLASSIFIER_MAPPING[ self.exploration.states['Home'].interaction.id]['algorithm_id'] self.algorithm_version = feconf.INTERACTION_CLASSIFIER_MAPPING[ self.exploration.states['Home'].interaction. id]['algorithm_version'] self.classifier_data = { '_alpha': 0.1, '_beta': 0.001, '_prediction_threshold': 0.5, '_training_iterations': 25, '_prediction_iterations': 5, '_num_labels': 10, '_num_docs': 12, '_num_words': 20, '_label_to_id': { 'text': 1 }, '_word_to_id': { 'hello': 2 }, '_w_dp': [], '_b_dl': [], '_l_dp': [], '_c_dl': [], '_c_lw': [], '_c_l': [], } classifier_training_job = ( classifier_services.get_classifier_training_job( self.exp_id, self.exploration.version, 'Home', self.algorithm_id)) self.assertIsNotNone(classifier_training_job) self.job_id = classifier_training_job.job_id # TODO(pranavsid98): Replace the three commands below with # mark_training_job_pending after Giritheja's PR gets merged. classifier_training_job_model = ( classifier_models.ClassifierTrainingJobModel.get(self.job_id, strict=False)) classifier_training_job_model.status = ( feconf.TRAINING_JOB_STATUS_PENDING) classifier_training_job_model.update_timestamps() classifier_training_job_model.put() self.job_result = (training_job_response_payload_pb2. TrainingJobResponsePayload.JobResult()) self.job_result.job_id = self.job_id classifier_frozen_model = ( text_classifier_pb2.TextClassifierFrozenModel()) classifier_frozen_model.model_json = json.dumps(self.classifier_data) self.job_result.text_classifier.CopyFrom(classifier_frozen_model) self.payload_proto = ( training_job_response_payload_pb2.TrainingJobResponsePayload()) self.payload_proto.job_result.CopyFrom(self.job_result) self.payload_proto.vm_id = feconf.DEFAULT_VM_ID self.secret = feconf.DEFAULT_VM_SHARED_SECRET self.payload_proto.signature = classifier_services.generate_signature( python_utils.convert_to_bytes(self.secret), python_utils.convert_to_bytes( self.payload_proto.job_result.SerializeToString()), self.payload_proto.vm_id) self.payload_for_fetching_next_job_request = { 'vm_id': feconf.DEFAULT_VM_ID, 'message': json.dumps({}) } self.payload_for_fetching_next_job_request['signature'] = ( classifier_services.generate_signature( python_utils.convert_to_bytes(self.secret), python_utils.convert_to_bytes( self.payload_for_fetching_next_job_request['message']), self.payload_for_fetching_next_job_request['vm_id']))