# -----------------------------------------------------------------
# Setup the remote
remote = Remote(host_id=environment.cache_host_id)
# -----------------------------------------------------------------
directory_name = cached_directory_name_for_single_command(
environment, "truncate")
remote_truncation_path = fs.join(remote.home_directory, directory_name)
# -----------------------------------------------------------------
filter_name = str(config.filter)
remote_truncation_path_filter = fs.join(remote_truncation_path, filter_name)
if not remote.is_directory(remote_truncation_path_filter):
raise ValueError("Could not find cached data for the " + filter_name +
" image")
# -----------------------------------------------------------------
# Initialize variable
the_image_path = None
# Find the truncated image with the factor corresponding to the specified factor
for image_path, image_name in remote.files_in_path(
remote_truncation_path_filter, extension="fits",
returns=["path", "name"]):
#print(image_path, image_name)
# -----------------------------------------------------------------
# Load the modeling environment
environment = GalaxyModelingEnvironment(modeling_path)
# -----------------------------------------------------------------
# Setup the remote
remote = Remote(host_id=environment.cache_host_id)
# -----------------------------------------------------------------
remote_data_path = cached_directory_path_for_single_command(
environment, "initialize_preparation", remote)
if not remote.is_directory(remote_data_path):
remote.create_directory(remote_data_path)
# -----------------------------------------------------------------
# Reset?
if config.reset:
# Loop over all FITS files in the remote data directory
for name, path in remote.files_in_path(remote_data_path,
recursive=True,
extension="fits",
returns=["name", "path"]):
# Determine origin
origin = instrument_to_origin(name.split("_")[1])
# Get the generation generation = fitting_run.get_generation(config.generation) # ----------------------------------------------------------------- # Get the cache path cache_path = generation.single_cache_path # ----------------------------------------------------------------- # Create remote remote = Remote(host_id=config.host_id) # ----------------------------------------------------------------- # Determine RT Modeling backup directory path remote_backup_path = fs.join(remote.home_directory, "RT Modeling Backup") remote_backup_galaxy_path = fs.join(remote_backup_path, environment.galaxy_name) # ----------------------------------------------------------------- # Create path if not remote.is_directory(remote_backup_galaxy_path): remote.create_directory(remote_backup_galaxy_path, recursive=True) # ----------------------------------------------------------------- # Synchronize remote.synchronize(cache_path, remote_backup_galaxy_path, show_output=True) # -----------------------------------------------------------------