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Add processing_Script and processing_data and actris_level to output metadata

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florez_j
2025-06-19 20:41:17 +02:00
parent b96c04fc01
commit 617a923fb6
2 changed files with 22 additions and 16 deletions
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2
instruments/readers/structured_file_reader.py
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@ -32,7 +32,7 @@ def read_structured_file_as_dict(path_to_file):
_, path_head = os.path.split(path_to_file) _, path_head = os.path.split(path_to_file)
file_dict['name'] = path_head file_dict['name'] = path_head
file_dict['attributes_dict'] = {} file_dict['attributes_dict'] = {'actris_level': 0, 'processing_date': utils.created_at(), 'processing_script' : os.path.relpath(thisFilePath,dimaPath)}
file_dict['datasets'] = [] file_dict['datasets'] = []
try: try:

36
instruments/readers/xps_ibw_reader.py
View File

@ -1,10 +1,27 @@
import os
import sys import sys
import os
try:
thisFilePath = os.path.abspath(__file__)
except NameError:
print("Error: __file__ is not available. Ensure the script is being run from a file.")
print("[Notice] Path to DIMA package may not be resolved properly.")
thisFilePath = os.getcwd() # Use current directory or specify a default
dimaPath = os.path.normpath(os.path.join(thisFilePath, "..",'..','..')) # Move up to project root
if dimaPath not in sys.path: # Avoid duplicate entries
sys.path.insert(0,dimaPath)
import h5py import h5py
from igor2.binarywave import load as loadibw from igor2.binarywave import load as loadibw
import logging import logging
import argparse import argparse
import utils.g5505_utils as utils
def read_xps_ibw_file_as_dict(filename): def read_xps_ibw_file_as_dict(filename):
""" """
@ -49,7 +66,7 @@ def read_xps_ibw_file_as_dict(filename):
# Group name and attributes # Group name and attributes
file_dict['name'] = path_head file_dict['name'] = path_head
file_dict['attributes_dict'] = {} file_dict['attributes_dict'] = {'actris_level': 0, 'processing_date':utils.created_at(), 'processing_script' : os.path.relpath(thisFilePath,dimaPath)}
# Convert notes of bytes class to string class and split string into a list of elements separated by '\r'. # Convert notes of bytes class to string class and split string into a list of elements separated by '\r'.
notes_list = file_obj['wave']['note'].decode("utf-8").split('\r') notes_list = file_obj['wave']['note'].decode("utf-8").split('\r')
@ -85,22 +102,11 @@ def read_xps_ibw_file_as_dict(filename):
if __name__ == "__main__": if __name__ == "__main__":
try:
thisFilePath = os.path.abspath(__file__)
except NameError:
print("Error: __file__ is not available. Ensure the script is being run from a file.")
print("[Notice] Path to DIMA package may not be resolved properly.")
thisFilePath = os.getcwd() # Use current directory or specify a default
dimaPath = os.path.normpath(os.path.join(thisFilePath, "..",'..','..')) # Move up to project root
if dimaPath not in sys.path: # Avoid duplicate entries
sys.path.insert(0,dimaPath)
from src.hdf5_ops import save_file_dict_to_hdf5 from src.hdf5_ops import save_file_dict_to_hdf5
from utils.g5505_utils import created_at from utils.g5505_utils import created_at
# Set up argument parsing # Set up argument parsing
parser = argparse.ArgumentParser(description="Data ingestion process to HDF5 files.") parser = argparse.ArgumentParser(description="Data ingestion process to HDF5 files.")
parser.add_argument('dst_file_path', type=str, help="Path to the target HDF5 file.") parser.add_argument('dst_file_path', type=str, help="Path to the target HDF5 file.")