def load_yaml(self,
config_files,
file_names_as_key=False,
return_config=False):
"""Load file (or files).
Args:
config_files: Preferably list of file paths
file_names_as_key: False | True
return_config: False | True
"""
if not isinstance(config_files, (list, np.ndarray)):
config_files = [config_files]
for config_file in config_files:
with open(config_file, encoding='cp1252') as fd:
try:
file = yaml.load(fd, Loader=yaml.FullLoader)
except yaml.YAMLError:
file = yaml.safe_load(fd)
if file_names_as_key:
file_name = self.get_file_name(config_file)
self.config[file_name] = file
else:
self.config = utils.recursive_dict_update(
self.config, file)
if return_config:
return self.config
def get_metadata(self, serie, map_keys=True, **kwargs):
"""Return dictionary with metadata."""
meta_dict = {}
data = self.get_meta_dict(
serie,
identifier=self.settings.datasets['vp2'].get('identifier_metadata'),
separator=self.settings.datasets['vp2'].get('separator_metadata'),
keys=self.settings.datasets['vp2'].get('keys_metadata'),
)
meta_dict = utils.recursive_dict_update(meta_dict, data)
if map_keys:
meta_dict = {self.settings.pmap.get(key): meta_dict[key] for key in meta_dict}
return meta_dict
def get_metadata(self, serie, map_keys=True, filename=None):
"""Return dictionary with metadata."""
meta_dict = {}
for ident, sep in zip(['identifier_metadata', 'identifier_metadata_2'],
['separator_metadata', 'separator_metadata_2']):
data = self.get_meta_dict(serie,
identifier=self.settings.datasets['cnv'].get(ident),
separator=self.settings.datasets['cnv'].get(sep),
keys=self.settings.datasets['cnv'].get('keys_metadata'))
meta_dict = utils.recursive_dict_update(meta_dict, data)
if map_keys:
meta_dict = {self.settings.pmap.get(key): meta_dict[key] for key in meta_dict}
return meta_dict