def test_experiment_outputs_path_creation_deletion(self): experiment_outputs_path = get_experiment_outputs_path(self.experiment.unique_name) assert os.path.exists(experiment_outputs_path) is False create_experiment_outputs_path(self.experiment.unique_name) assert os.path.exists(experiment_outputs_path) is True delete_experiment_outputs(self.experiment.unique_name) assert os.path.exists(experiment_outputs_path) is False
def experiment_pre_deleted(sender, **kwargs): instance = kwargs['instance'] # Delete outputs and logs delete_experiment_outputs(instance.unique_name) delete_experiment_logs(instance.unique_name) # Delete clones for experiment in instance.clones.filter(cloning_strategy=CloningStrategy.RESUME): experiment.delete()
def new_experiment(sender, **kwargs): instance = kwargs['instance'] instance.set_status(ExperimentLifeCycle.CREATED) # Clean outputs and logs delete_experiment_logs(instance.unique_name) delete_experiment_outputs(instance.unique_name) # Create logs path create_experiment_logs_path(instance.unique_name)
def experiment_deleted(sender, **kwargs): instance = kwargs['instance'] try: _ = instance.experiment_group # Delete all jobs from DB before sending a signal to k8s, # this way no statuses will be updated in the meanwhile instance.jobs.all().delete() experiment_scheduler.stop_experiment(instance, update_status=False) except ExperimentGroup.DoesNotExist: # The experiment was already stopped when the group was deleted pass # Delete outputs and logs delete_experiment_outputs(instance.unique_name) delete_experiment_logs(instance.unique_name)
def new_experiment(sender, **kwargs): instance = kwargs['instance'] created = kwargs.get('created', False) # Check if the experiment is newly created and that we can start it independently if not created: return instance.set_status(ExperimentLifeCycle.CREATED) # Clean outputs and logs delete_experiment_logs(instance.unique_name) delete_experiment_outputs(instance.unique_name) # Create logs path create_experiment_logs_path(instance.unique_name) if instance.is_independent: # Start building the experiment and then Schedule it to be picked by the spawners build_experiment.apply_async((instance.id, ), countdown=1)
def experiment_deleted(sender, **kwargs): instance = kwargs['instance'] # Delete outputs and logs delete_experiment_outputs(instance.unique_name) delete_experiment_logs(instance.unique_name)