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)
def experiment_post_save(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)
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 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_post_save(sender, **kwargs):
instance = kwargs['instance']
instance.set_status(ExperimentLifeCycle.CREATED)
if instance.is_independent:
# Clean outputs and logs
delete_experiment_logs(instance.unique_name)
delete_experiment_outputs(persistence_outputs=instance.persistence_outputs,
experiment_name=instance.unique_name)
def experiment_pre_delete(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 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)
