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Moved is_structured_array() and to_serializable_dtype() to utils, ranamed a few functions and propagated changes to dependent modules.

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florez_j
2024-09-26 14:03:11 +02:00
parent a57e46d89c
commit a92660049f
5 changed files with 679 additions and 98 deletions
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4
pipelines/metadata_revision.py
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@ -202,10 +202,10 @@ def update_hdf5_attributes(input_hdf5_file, yaml_dict):
if attr_value.get('delete'): # delete when True
hdf5_obj.attrs.__delitem__(attr_name)
elif not (attr_value.get('rename_as') == attr_name): # update when true
hdf5_obj.attrs[attr_value.get('rename_as')] = hdf5_obj.attrs[attr_name] # parse_attribute(attr_value)
hdf5_obj.attrs[attr_value.get('rename_as')] = hdf5_obj.attrs[attr_name] # convert_attrdict_to_np_structured_array(attr_value)
hdf5_obj.attrs.__delitem__(attr_name)
else: # add a new attribute
hdf5_obj.attrs.update({attr_name : utils.parse_attribute(attr_value)})
hdf5_obj.attrs.update({attr_name : utils.convert_attrdict_to_np_structured_array(attr_value)})
with h5py.File(input_hdf5_file, 'r+') as f:
for key in yaml_dict.keys():