def prefixed_metadata(self, trans, hda):
"""
Adds (a prefixed version of) the hda metadata to the dict, prefixing each key
with 'metadata_'.
"""
metadata = self.serialize_metadata(trans, hda, 'metadata')
#TODO: this is factored out for removal - metadata should be a sub-object instead:
# i.e. 'metadata' : self.serialize_metadata,
prefixed = {}
for key, val in metadata.items():
prefixed_key = 'metadata_' + key
prefixed[prefixed_key] = val
return prefixed
def prefixed_metadata( self, trans, hda ):
"""
Adds (a prefixed version of) the hda metadata to the dict, prefixing each key
with 'metadata_'.
"""
metadata = self.serialize_metadata( trans, hda, 'metadata' )
#TODO: this is factored out for removal - metadata should be a sub-object instead:
# i.e. 'metadata' : self.serialize_metadata,
prefixed = {}
for key, val in metadata.items():
prefixed_key = 'metadata_' + key
prefixed[ prefixed_key ] = val
return prefixed
def _prefixed_metadata( self, dataset_assoc ):
"""
Adds (a prefixed version of) the DatasetInstance metadata to the dict,
prefixing each key with 'metadata_'.
"""
# build the original, nested dictionary
metadata = self.serialize_metadata( dataset_assoc, 'metadata' )
# prefix each key within and return
prefixed = {}
for key, val in metadata.items():
prefixed_key = 'metadata_' + key
prefixed[ prefixed_key ] = val
return prefixed
def _prefixed_metadata(self, dataset_assoc):
"""
Adds (a prefixed version of) the DatasetInstance metadata to the dict,
prefixing each key with 'metadata_'.
"""
# build the original, nested dictionary
metadata = self.serialize_metadata(dataset_assoc, 'metadata')
# prefix each key within and return
prefixed = {}
for key, val in metadata.items():
prefixed_key = 'metadata_' + key
prefixed[prefixed_key] = val
return prefixed
