# Check whether names are given if config.names is not None: # Loop over the directories in the temporary directory for path, name in remote.directories_in_path(remote.pts_temp_path, returns=["path", "name"]): # Contains timestamp if time.is_unique_name(name): # Without timestamp in list basename = time.get_name_from_unique_name(name) if basename in config.names: remote.remove_directory(path) # Full name in list if name in config.names: remote.remove_directory(path) # Full name in list elif name in config.names: remote.remove_directory(path) # Clear all temporary data else: remote.clear_directory(remote.pts_temp_path) # Local # ----------------------------------------------------------------- else: fs.clear_directory(introspection.pts_temp_dir)
# Create the remote remote = Remote(host_id=config.remote) # Check whether names are given if config.names is not None: # Loop over the directories in the temporary directory for path, name in remote.directories_in_path(remote.pts_temp_path, returns=["path", "name"]): # Contains timestamp if time.is_unique_name(name): # Without timestamp in list basename = time.get_name_from_unique_name(name) if basename in config.names: remote.remove_directory(path) # Full name in list if name in config.names: remote.remove_directory(path) # Full name in list elif name in config.names: remote.remove_directory(path) # Clear all temporary data else: remote.clear_directory(remote.pts_temp_path) # Local else: fs.clear_directory(introspection.pts_temp_dir) # -----------------------------------------------------------------
else: # Infomr log.info("Downloading the '" + name + "' file to [" + origin_path + "] ...") # Download remote.download_file_to(path, origin_path, remove=True) # Success log.success("Succesfully retrieved the '" + name + "' image ...") # Inform the user log.info("Clearing the remote data structure ...") # Clear the entire data structure now remote.clear_directory(remote_data_path) # ----------------------------------------------------------------- # Get the image paths paths, error_paths = get_data_image_and_error_paths(modeling_path) # ----------------------------------------------------------------- # Get the initial dataset dataset = get_initial_dataset(modeling_path, check=False) # ----------------------------------------------------------------- # Loop over the images for name in paths: