Added attribution insertion order tracking at the root level and reorganized a few import statements.

src/hdf5_lib.py

@@ -5,7 +5,8 @@ sys.path.append(root_dir)
 
 import pandas as pd
 import numpy as np
-
+import h5py
+import logging
 
 
 #import g5505_file_reader
@@ -14,10 +15,6 @@ import src.g5505_utils as utils
 import src.hdf5_vis as hdf5_vis
 import src.g5505_file_reader as g5505f_reader
 
-import h5py
-import yaml
-import shutil
-import logging
 # Define mapping from extension to their file reader
 
 ext_to_reader_dict = {'.ibw': g5505f_reader.read_xps_ibw_file_as_dict,
@@ -330,7 +327,7 @@ def create_hdf5_file_from_filesystem_path(output_filename : str,
     # Set input_directory as copied input directory
     root_dir = output_dir_path
     
-    with h5py.File(output_filename, 'w') as h5file:
+    with h5py.File(output_filename, mode='w', track_order=True) as h5file:
 
         number_of_dirs = len(path_to_filenames_dict.keys())
         dir_number = 1
@@ -389,19 +386,18 @@ def create_hdf5_file_from_filesystem_path(output_filename : str,
 
         
     
-    if len(root_metadata_dict.keys())>0:
-        annotate_root_dir(output_filename,root_metadata_dict)  
+        if len(root_metadata_dict.keys())>0:
+            for key, value in root_metadata_dict.items():
+                #if key in h5file.attrs:
+                #    del h5file.attrs[key]
+                h5file.attrs.create(key, value)
+            #annotate_root_dir(output_filename,root_metadata_dict)  
 
     
     #output_yml_filename_path = hdf5_vis.take_yml_snapshot_of_hdf5_file(output_filename)
 
     return output_filename #, output_yml_filename_path
 
-import os
-#import src.hdf5_lib as h5lib
-import src.g5505_utils as utils
-import h5py
-import src.metadata_review_lib as metadata_lib
 def save_processed_dataframe_to_hdf5(df, annotator, output_filename): # src_hdf5_path, script_date, script_name):
     """
     Save processed dataframe columns with annotations to an HDF5 file.