def test_biodiverse_3_fail(self):
# Fails due to bad threshold selected
homepage = Homepage(self.driver)
login_page = homepage.click_login()
homepage = login_page.valid_login(self.username, self.password)
experiment_page = homepage.click_experiments()
# First create an SDM experiment to work with:
new_sdm_page = experiment_page.click_new_sdm_experiment()
sdm_experiment_name = create_sdm(self, new_sdm_page)
# Click on Experiments
experiment_page = homepage.click_experiments()
# New projection experiment
new_projection_page = experiment_page.click_new_projection_experiment()
projection_experiment_name = create_projection(self, sdm_experiment_name, new_projection_page)
# Click on Experiments
experiment_page = homepage.click_experiments()
# New biodiverse experiment
new_biodiverse_page = experiment_page.click_new_biodiverse_experiment()
# generate a unique identifier for the projection experiment
biodiverse_experiment_name = "biodiverse_" + generate_timestamp()
new_biodiverse_page.enter_experiment_name(biodiverse_experiment_name)
new_biodiverse_page.enter_experiment_description("This is a biodiverse experiment")
# select the earlier generated projection experiment
new_biodiverse_page.select_source_projection_tab()
new_biodiverse_page.select_projection_experiments(projection_experiment_name)
new_biodiverse_page.select_species("Phascolarctus cinereus")
new_biodiverse_page.select_years("2015")
new_biodiverse_page.select_layers("proj_RCP3PD_gfdl-cm20_2015_Phascolarctus.cinereus.tif")
# select the configuration tab
new_biodiverse_page.select_configuration_tab()
new_biodiverse_page.select_threshold_value("KAPPA")
new_biodiverse_page.select_cluster_size("20000")
# run the experiment
new_biodiverse_page.select_run()
experiment_result_page = new_biodiverse_page.select_run_experiment()
experiment_result_page.wait_for_experiment_to_complete()
self.assertTrue(experiment_result_page.has_completed_with_failure())
# Check results
self.assertTrue(experiment_result_page.has_results_header(biodiverse_experiment_name))
self.assertTrue(experiment_result_page.has_result_file("proj_RCP3PD_gfdl-cm20_2015_Phascolarctus.cinereus.tif"))
self.assertTrue(experiment_result_page.has_result_file("biodiverse.plout"))
self.assertTrue(experiment_result_page.has_result_file("pstats.json"))
# Cleanup
self.delete_experiment(sdm_experiment_name)
self.delete_experiment(projection_experiment_name)
self.delete_experiment(biodiverse_experiment_name)
def test_sharing_experiment(self):
homepage = Homepage(self.driver)
login_page = homepage.click_login()
homepage = login_page.valid_login(self.username, self.password)
experiment_page = homepage.click_experiments()
new_sdm_page = experiment_page.click_new_sdm_experiment()
experiment_name = "sharing_test_" + generate_timestamp()
new_sdm_page.enter_experiment_name(experiment_name)
new_sdm_page.enter_experiment_description('Artificial Neural Network with Koala occurrences')
new_sdm_page.select_configuration()
new_sdm_page.select_sdm_algorithm('Artificial Neural Network')
new_sdm_page.select_occurrences()
new_sdm_page.select_occurrences_dataset('Koala - Mini occurrence dataset for Redland City')
new_sdm_page.select_absences()
new_sdm_page.select_absences_dataset('Koala - Mini absence dataset for Redland City')
new_sdm_page.select_environment()
new_sdm_page.select_current_climate_layers('30" (~1km)', 'Current climate layers for Redland City, 30" (~1km)')
new_sdm_page.select_environmental_datasets('Current climate layers for Redland City, 30" (~1km)',
'B14 - Precipitation of Driest Month')
new_sdm_page.select_run()
experiment_view = new_sdm_page.select_review_start_experiment()
# Wait until completion
experiment_view.wait_for_experiment_to_complete()
self.assertTrue(experiment_view.has_completed_successfully())
# Navigate back to experiment list
experiment_page = experiment_view.click_experiments()
# Check it's in the list
experiments = experiment_page.get_experiment_list()
self.assertTrue(experiment_name.lower() in experiments[0], "Could not find SDM experment")
# Share it
sharing_page = experiment_page.click_share_experiment(experiment_name)
sharing_page.check_can_view("Logged-in users")
sharing_page.agree_to_terms_and_conditions()
sharing_page.select_share_save()
# Log out
logged_out_homepage = homepage.click_logout()
login_page = logged_out_homepage.click_login()
login_page.valid_login("testuser", "Pass.123")
experiment_page = homepage.click_experiments()
experiments = experiment_page.get_experiment_list()
self.assertTrue(experiment_name in experiments[0])
# Log out so we can delete it
logged_out_homepage = homepage.click_logout("test user")
login_page = logged_out_homepage.click_login()
login_page.valid_login(self.username, self.password)
# Cleanup
self.delete_experiment(experiment_name)
def test_ensemble_SDM(self):
homepage = Homepage(self.driver)
login_page = homepage.click_login()
homepage = login_page.valid_login(self.username, self.password)
experiment_page = homepage.click_experiments()
new_sdm_page = experiment_page.click_new_sdm_experiment()
experiment_name = "ann_" + generate_timestamp()
new_sdm_page.enter_experiment_name(experiment_name)
new_sdm_page.enter_experiment_description('Artificial Neural Network with Koala occurrences')
new_sdm_page.select_configuration()
new_sdm_page.select_sdm_algorithm('Artificial Neural Network')
new_sdm_page.select_occurrences()
new_sdm_page.select_occurrences_dataset('Koala - Mini occurrence dataset for Redland City')
new_sdm_page.select_absences()
new_sdm_page.select_absences_dataset('Koala - Mini absence dataset for Redland City')
new_sdm_page.select_environment()
new_sdm_page.select_current_climate_layers('30" (~1km)', 'Current climate layers for Redland City, 30" (~1km)')
new_sdm_page.select_environmental_datasets('Current climate layers for Redland City, 30" (~1km)',
'B14 - Precipitation of Driest Month')
new_sdm_page.select_run()
experiment_view = new_sdm_page.select_review_start_experiment()
# Wait until completion
experiment_view.wait_for_experiment_to_complete()
self.assertTrue(experiment_view.has_completed_successfully())
experiments_page = experiment_view.click_experiments()
new_ensemble_page = experiments_page.click_new_ensemble_experiment()
new_ensemble_page.enter_experiment_name("Ensemble_" + generate_timestamp())
new_ensemble_page.enter_experiment_description("A description goes here.")
new_ensemble_page.click_source_data()
new_ensemble_page.select_dataset_type("sdm")
# Choose the SDM from before
new_ensemble_page.select_source_experiment(experiment_name)
# Choose a file from that SDM experiment:
new_ensemble_page.select_available_file("proj_current_Phascolarctus.cinereus.tif")
new_ensemble_page.click_run()
experiment_results = new_ensemble_page.click_start_experiment()
experiment_results.wait_for_experiment_to_complete()
self.assertTrue(experiment_results.has_completed_successfully())
def test_upload_species_dataset(self):
homepage = Homepage(self.driver)
login_page = homepage.click_login()
homepage = login_page.valid_login(self.username, self.password)
datasets_page = homepage.click_datasets()
upload_page = datasets_page.select_dataset_upload()
upload_page = upload_page.select_dataset_type("Species Dataset")
upload_page.upload_file(os.getcwd() + "test.csv")
upload_page.enter_dataset_title("species_dataset" + generate_timestamp())
upload_page.enter_dataset_description("bleh")
upload_page.enter_scientific_name("bleh")
upload_page.enter_taxon_id("bluh")
upload_page.enter_common_name("bloop")
upload_page.agree_to_terms_and_conditions()
upload_page.submit()
def test_upload_futureclimate_layer(self):
homepage = Homepage(self.driver)
login_page = homepage.click_login()
homepage = login_page.valid_login(self.username, self.password)
datasets_page = homepage.click_datasets()
upload_page = datasets_page.select_dataset_upload()
upload_page = upload_page.select_dataset_type("Future Climate Layer")
upload_page.upload_file(os.getcwd() + "test.csv")
upload_page.enter_dataset_title("environmental_layer" + generate_timestamp())
upload_page.enter_dataset_description("blurp")
#upload_page.select_type("continuous")
upload_page.select_resolution("30\" (~1km)")
upload_page.enter_start_date(1, 1, 2000, "wow")
upload_page.enter_end_date(2, 2, 2001, "weo")
upload_page.select_emission_scenario("RCP6")
upload_page.select_global_climate_model("Coupled Global Climate Model (CGCM3)")
upload_page.agree_to_terms_and_conditions()
upload_page.submit()
def test_upload_species_trait(self):
homepage = Homepage(self.driver)
login_page = homepage.click_login()
homepage = login_page.valid_login(self.username, self.password)
datasets_page = homepage.click_datasets()
upload_page = datasets_page.select_dataset_upload()
upload_page = upload_page.select_dataset_type("Species Trait")
upload_page.upload_file(os.getcwd() + "test.csv")
dataset_title = "species_trait_test_" + generate_timestamp()
upload_page.enter_dataset_title(dataset_title)
upload_page.enter_dataset_description("Description")
upload_page.agree_to_terms_and_conditions()
datasets_page = upload_page.submit()
# Retry while datasets page hasn't loaded.
datasets = datasets_page.get_dataset_list()
while (len(datasets) == 0):
datasets = datasets_page.get_dataset_list()
self.assertTrue(dataset_title in datasets)