Added .update_file() method, which enables complementary data structure updates to existing file with same name as append_dir's head.

src/hdf5_ops.py

@@ -8,6 +8,7 @@ import pandas as pd
 import numpy as np
 
 import utils.g5505_utils as utils
+import src.hdf5_lib as hdf5_lib
 import logging
 import datetime
 
@@ -355,6 +356,34 @@ class HDF5DataOpsManager():
         #return np.array(timestamps)
         return dt_column_data.to_numpy()
     
+    def update_file(self, path_to_append_dir):
+        # Split the reference file path and the append directory path into directories and filenames
+        ref_tail, ref_head = os.path.split(self.file_path)
+        tail, head = os.path.split(path_to_append_dir)
+        head_filename, head_ext = os.path.splitext(head)
+
+        # Ensure the append directory is in the same directory as the reference file and has the same name (without extension)
+        if not (ref_tail == tail and ref_head == head_filename):
+            raise ValueError("The append directory must be in the same directory as the reference HDF5 file and have the same name without the extension.")
+        
+        # Close the file if it's already open
+        if self.file_obj is not None:
+            self.close_file()
+
+        # Attempt to open the file in 'r+' mode for appending
+        try:
+            hdf5_lib.create_hdf5_file_from_filesystem_path(path_to_append_dir, mode='r+')
+        except FileNotFoundError:
+            raise FileNotFoundError(f"Reference HDF5 file '{self.file_path}' not found.")
+        except OSError as e:
+            raise OSError(f"Error opening HDF5 file: {e}")
+
+        
+
+        
+
+
+
 
 
 def read_dataset_from_hdf5file(hdf5_file_path, dataset_path):