def _get_dataset_name(self, metadata_dict, hash_dataset):
if self._discovery:
return GCProvider._get_dataset_name(self, metadata_dict,
hash_dataset)
if 'CMSSW_DATATIER' not in metadata_dict:
raise DatasetError('Incompatible data tiers in dataset: %s' %
repr(metadata_dict))
def _get_path_components(path):
if path:
return path.strip('/').split('/')
return []
user_dataset_part_list = tuple(
_get_path_components(self._dataset_pattern))
(primary, processed, tier) = (None, None, None)
# In case of a child dataset, use the parent infos to construct new path
for parent in metadata_dict.get('PARENT_PATH', []):
if len(user_dataset_part_list) == 3:
(primary, processed, tier) = user_dataset_part_list
else:
try:
(primary, processed,
tier) = tuple(_get_path_components(parent))
except Exception:
clear_current_exception()
if (primary is None) and (len(user_dataset_part_list) > 0):
primary = user_dataset_part_list[0]
user_dataset_part_list = user_dataset_part_list[1:]
if len(user_dataset_part_list) == 2:
(processed, tier) = user_dataset_part_list
elif len(user_dataset_part_list) == 1:
(processed, tier) = (user_dataset_part_list[0],
metadata_dict['CMSSW_DATATIER'])
elif len(user_dataset_part_list) == 0:
(processed, tier) = ('Dataset_%s' % hash_dataset,
metadata_dict['CMSSW_DATATIER'])
raw_dataset_name = '/%s/%s/%s' % (primary, processed, tier)
if None in (primary, processed, tier):
raise DatasetError(
'Invalid dataset name supplied: %r\nresulting in %s' %
(self._dataset_pattern, raw_dataset_name))
return replace_with_dict(raw_dataset_name, metadata_dict)
def _get_dataset_name(self, metadata_dict, hash_dataset):
if self._discovery:
return GCProvider._get_dataset_name(self, metadata_dict, hash_dataset)
if 'CMSSW_DATATIER' not in metadata_dict:
raise DatasetError('Incompatible data tiers in dataset: %s' % repr(metadata_dict))
def _get_path_components(path):
if path:
return path.strip('/').split('/')
return []
user_dataset_part_list = tuple(_get_path_components(self._dataset_pattern))
(primary, processed, tier) = (None, None, None)
# In case of a child dataset, use the parent infos to construct new path
for parent in metadata_dict.get('PARENT_PATH', []):
if len(user_dataset_part_list) == 3:
(primary, processed, tier) = user_dataset_part_list
else:
try:
(primary, processed, tier) = tuple(_get_path_components(parent))
except Exception:
clear_current_exception()
if (primary is None) and (len(user_dataset_part_list) > 0):
primary = user_dataset_part_list[0]
user_dataset_part_list = user_dataset_part_list[1:]
if len(user_dataset_part_list) == 2:
(processed, tier) = user_dataset_part_list
elif len(user_dataset_part_list) == 1:
(processed, tier) = (user_dataset_part_list[0], metadata_dict['CMSSW_DATATIER'])
elif len(user_dataset_part_list) == 0:
(processed, tier) = ('Dataset_%s' % hash_dataset, metadata_dict['CMSSW_DATATIER'])
raw_dataset_name = '/%s/%s/%s' % (primary, processed, tier)
if None in (primary, processed, tier):
raise DatasetError('Invalid dataset name supplied: %r\nresulting in %s' % (
self._dataset_pattern, raw_dataset_name))
return replace_with_dict(raw_dataset_name, metadata_dict)
