def new_project(sender, **kwargs):
instance = kwargs['instance']
created = kwargs.get('created', False)
if not created:
return
# Clean outputs, logs, and repos
delete_project_outputs(instance.unique_name)
delete_project_logs(instance.unique_name)
delete_project_repos(instance.unique_name)
def test_project_logs_path_creation_deletion(self):
with patch('experiments.tasks.build_experiment.apply_async') as _:
experiment = ExperimentFactory(user=self.project.user, project=self.project)
experiment_logs_path = get_experiment_logs_path(experiment.unique_name)
open(experiment_logs_path, '+w')
project_logs_path = get_project_logs_path(self.project.unique_name)
project_repos_path = get_project_logs_path(self.project.unique_name)
# Should be true, created by the signal
assert os.path.exists(experiment_logs_path) is True
assert os.path.exists(project_logs_path) is True
assert os.path.exists(project_repos_path) is True
delete_project_logs(self.project.unique_name)
assert os.path.exists(experiment_logs_path) is False
assert os.path.exists(project_logs_path) is False
assert os.path.exists(project_repos_path) is False
def project_deleted(sender, **kwargs):
instance = kwargs['instance']
tensorboard_scheduler.stop_tensorboard(instance, update_status=False)
notebook_scheduler.stop_notebook(instance, update_status=False)
# Delete tensorboard job
if instance.tensorboard:
instance.tensorboard.delete()
# Delete notebook job
if instance.notebook:
instance.notebook.delete()
# Clean outputs, logs, and repos
delete_project_outputs(instance.unique_name)
delete_project_logs(instance.unique_name)
delete_project_repos(instance.unique_name)
def project_deleted(sender, **kwargs):
instance = kwargs['instance']
# Clean outputs, logs, and repos
delete_project_outputs(instance.unique_name)
delete_project_logs(instance.unique_name)
delete_project_repos(instance.unique_name)
