Make file reader selection case insensitive by using ext.lower() and update...

Make file reader selection case insensitive by using ext.lower() and update config_text_reader.py to point to renamed dictionary.

src/hdf5_ops.py

@@ -26,12 +26,12 @@ import yaml
 import json
 import copy
 
-try:
-    from dima.utils import g5505_utils as utils
-    from dima.src import hdf5_writer as hdf5_lib
-except ModuleNotFoundError:
-    import utils.g5505_utils as utils
-    import src.hdf5_writer as hdf5_lib
+#try:
+#    from dima.utils import g5505_utils as utils
+#    from dima.src import hdf5_writer as hdf5_lib
+#except ModuleNotFoundError:
+import utils.g5505_utils as utils
+import src.hdf5_writer as hdf5_lib
 
 class HDF5DataOpsManager():
 
@@ -706,3 +706,67 @@ if __name__ == "__main__":
 
     #run(sys.argv[2])
 
+
+def save_file_dict_to_hdf5(h5file, group_name, file_dict):
+    """
+    Transfers data from a file_dict to an HDF5 file.
+
+    Parameters
+    ----------
+    h5file : h5py.File
+        HDF5 file object where the data will be written.
+    group_name : str
+        Name of the HDF5 group where data will be stored.
+    file_dict : dict
+        Dictionary containing file data to be transferred. Required structure:
+        {
+            'name': str,
+            'attributes_dict': dict,
+            'datasets': [
+                {
+                    'name': str,
+                    'data': array-like,
+                    'shape': tuple,
+                    'attributes': dict (optional)
+                },
+                ...
+            ]
+        }
+
+    Returns
+    -------
+    None
+    """
+
+    if not file_dict:
+        return
+
+    try:
+        # Create group and add their attributes
+        filename = file_dict['name']
+        group = h5file[group_name].create_group(name=filename)
+        # Add group attributes                                
+        group.attrs.update(file_dict['attributes_dict'])
+        
+        # Add datasets to the just created group
+        for dataset in file_dict['datasets']:
+            dataset_obj = group.create_dataset(
+                name=dataset['name'], 
+                data=dataset['data'],
+                shape=dataset['shape']
+            )
+            
+            # Add dataset's attributes                                
+            attributes = dataset.get('attributes', {})
+            dataset_obj.attrs.update(attributes)
+        group.attrs['last_update_date'] = utils.created_at().encode('utf-8')
+
+        stdout = f'Completed transfer for /{group_name}/{filename}'
+        print(stdout)
+
+    except Exception as inst:         
+        logging.error('Failed to transfer data into HDF5: %s', inst)
+        return -1
+
+    return 0
+