I have set up a system to allow end users to be able to easily get the correct Tags needed for UDDs.
It uses a python script to extract the Business Objects, Attributes and Reference Attributes from the business space xml file to some csvs.
The csvs can be imported into "Object", "Field", "Relation" BO's.
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Code: Select all
import xml.etree.ElementTree as ET
import csv
# Load and parse the XML file
tree = ET.parse('input.xml') # Replace with your XML file path
root = tree.getroot()
# Prepare data for CSV files
objects_data = []
references_data = []
attributes_data = []
for obj_def in root.findall('object_definition'):
# Data for Objects CSV
obj_data = {
'Object.Name': obj_def.get('name'),
'Object.Tag': obj_def.get('name')
}
objects_data.append(obj_data)
for attr_def in obj_def.findall('attribute_definition'):
# Check if 'primitive_type' is present
if 'primitive_type' in attr_def.attrib:
# Data for Attributes CSV
label = attr_def.find(".//text_attribute_presentation").get('label') if attr_def.find(".//text_attribute_presentation") is not None else attr_def.get('name')
attributes_data.append({
'Field.ps_Object.Tag': obj_def.get('name'),
'Field.Tag': attr_def.get('name'),
'Field.Name': label
})
# Data for References CSV
if attr_def.get('multiple') == 'false' and 'reference_type' in attr_def.attrib:
references_data.append({
'Relation.ps_ObjectFrom.Tag': obj_def.get('name'),
'Relation.ps_ObjectTo.Tag': attr_def.get('reference_type'),
'Relation.Tag': attr_def.get('name'),
'Relation.Name': attr_def.get('name').split('_', 1)[1] if '_' in attr_def.get('name') else attr_def.get('name')
})
# Write to Objects CSV
with open('Objects.csv', 'w', newline='', encoding='utf-8') as file:
writer = csv.DictWriter(file, fieldnames=objects_data[0].keys())
writer.writeheader()
writer.writerows(objects_data)
# Write to References CSV
with open('References.csv', 'w', newline='', encoding='utf-8') as file:
writer = csv.DictWriter(file, fieldnames=references_data[0].keys())
writer.writeheader()
writer.writerows(references_data)
# Write to Attributes CSV
with open('Attributes.csv', 'w', newline='', encoding='utf-8') as file:
writer = csv.DictWriter(file, fieldnames=attributes_data[0].keys())
writer.writeheader()
writer.writerows(attributes_data)
print("CSV files created successfully.")
This whole process can still be optimized, and I may try to automate more of it down the line.