tests.interface package

Submodules

tests.interface.test_emailclassifierapp module

class tests.interface.test_emailclassifierapp.TestEmailClassifierApp(methodName='runTest')

Bases: TestCase

Class with tests associated with EmailClassifierApp class.

test_classifier_option_check_false()

Method tests the classifier_option_check method of the class when it returns false.

test_classifier_option_check_true()

Method tests the classifier_option_check method of the class when it returns true.

test_classify_3_stage_input_error_non_string_inside_list()

Method tests the classify_emails_3_stage_pipelines when list contains non-string elements.

test_classify_3_stage_input_error_not_list_or_str()

Method tests the classify_emails_3_stage_pipelines when input is not str or list.

test_classify_3_stage_model1_and_model2_not_found()

Method tests the classify_emails_3_stage_pipelines when model1 and model2 are missing.

test_classify_3_stage_model1_and_model3_not_found()

Method tests the classify_emails_3_stage_pipelines when model1 and model3 are missing.

test_classify_3_stage_model1_not_found()

Method tests the classify_emails_3_stage_pipelines when model1 is missing.

test_classify_3_stage_model2_and_model3_not_found()

Method tests the classify_emails_3_stage_pipelines when model2 and model3 are missing.

test_classify_3_stage_model2_not_found()

Method tests the classify_emails_3_stage_pipelines when model2 is missing.

test_classify_3_stage_model3_not_found()

Method tests the classify_emails_3_stage_pipelines when model3 is missing.

test_classify_3_stage_models_not_found()

Method tests the classify_emails_3_stage_pipelines when models are missing.

test_classify_3_stage_success_all_paths()

Method tests the classify_emails_3_stage_pipelines with correct classification logic through all 3 stages using mocks.

test_init()

Method tests the initialization of a class

test_load_data_csv_exception()

Method tests the load_data_csv method of the class, in the environment that returns an exception.

test_load_data_csv_success()

Test that checks if load_data_csv returns a DataFrame when given a valid path.

test_predict_multiclassifier_invalid_input_type()

Method tests the predict_with_multiclassifier exception route when input is invalid.

test_predict_multiclassifier_invalid_list_element()

Method tests the predict_with_multiclassifier exception route when element of input list is invalid.

test_predict_multiclassifier_model_not_found()

Method tests the predict_with_multiclassifier exception route when model is None.

test_predict_multiclassifier_success()

Method tests the predict_with_multiclassifier success route.

test_set_model1_clf()

Method tests the set_model1_clf method of the class.

test_set_model2_clf()

Method tests the set_model2_clf method of the class.

test_set_model3_clf()

Method tests the set_model3_clf method of the class.

test_set_multiclassifier_model_clf()

Method tests the set_multiclassifier_model_clf method of the class.

test_set_stacking_classifier_estimators_all_estimators()

Method that tests set_stacking_classifier_estimators with all supported estimators.

test_set_stacking_classifier_estimators_all_none()

Method that tests set_stacking_classifier_estimators when all estimators are none.

test_set_stacking_classifier_estimators_invalid_estimators()

Method tests the set_stacking_classifier_estimators method exception route when estimators are invalid.

test_set_stacking_classifier_estimators_success_default()

Method that tests set_stacking_classifier_estimators success route with default estimators.

test_set_voting_classifier_parameters_all_estimators()

Method that tests set_voting_classifier_parameters method’s success route with all possible estimators.

test_set_voting_classifier_parameters_invalid_estimators()

Method tests the set_voting_classifier_parameters method exception route when estimators and voting option are invalid.

test_set_voting_classifier_parameters_invalid_voting_option()

Method that tests set_voting_classifier_parameters method exception route when voting option is invalid.

test_set_voting_classifier_parameters_success_default_estimators()

Method tests success route with default estimators for both hard and soft voting.

test_train_3_stage_pipeline_unsupported_classifiers_fallback()

Method that tests if Voting and Stacking classifiers are reset to MultinomialNB in 3 stage pipeline setup.

test_train_3_stage_pipelines_all_supported_classifiers()

Method that tests all possible supported classifiers usage for 3 stage pipelines training.

test_train_3_stage_pipelines_invalid_classifier()

Method tests the train_3_stage_pipelines method of the class when the provided classifier is invalid.

test_train_3_stage_pipelines_success()

Method tests the train_3_stage_pipelines method of the class.

test_train_3_stage_stacking_classifier_not_supported()

Method tests the train_3_stage_pipelines method of the class when the provided classifier is an unsupported StackingClassifier.

test_train_3_stage_voting_classifier_not_supported()

Method tests the train_3_stage_pipelines method of the class when the provided classifier is an unsupported VotingClassifier.

test_train_multiclassifier_all_classifier_options()

Method that tests all possible supported classifiers usage for multiclassifier training.

test_train_multiclassifier_pipeline_invalid_classifier()

Method tests if the invalid classifier option triggers ClassifierOptionError route in train_multiclassifier_pipeline method.

test_train_multiclassifier_pipeline_success()

Method tests the success route of train_multiclassifier_pipeline method.

test_train_multiclassifier_stacking_classifier()

Method that tests StackingClassifier getting set as multiclassifier model.

test_train_multiclassifier_voting_classifier()

Method that tests StackingClassifier getting set as multiclassifier model.

test_view_3_stage_pipelines_accuracy_model_not_found()

Method tests if view_3_stage_pipelines_accuracy returns None when any model is missing.

test_view_3_stage_pipelines_accuracy_success()

Method tests the success route for view_3_stage_pipelines_accuracy where accuracy of all 3 models is displayed.

test_view_multiclassifier_accuracy_model_missing()

Method tests the view_multiclassifier_accuracy method when the multiclassifier model is missing.

test_view_multiclassifier_accuracy_success()

Method tests the view_multiclassifier_accuracy method success route.

Module contents