def compute_ancestors()

in dataplex-quickstart-labs/00-resources/scripts/python/business-glossary-import/bg_import/business_glossary_export_v2.py [0:0]

• 24 lines of code
• 4 McCabe index (conditional complexity)

def compute_ancestors(child_id: str,
                      parent_mapping: Dict[str, str],
                      map_entry_id_to_entry_type: Dict[str, str]) -> List[Dict[str, str]]:
    """
    Build the ancestors array for an entry (using entry IDs).
    For each ancestor in the chain, construct its export resource using get_export_resource_by_id.
    If no belongs_to exists, assume the glossary is the only ancestor.
    
    Args: 
        child_id (str): The entry id of the child.
        parent_mapping (Dict[str, str]): The parent mapping.
        map_entry_id_to_entry_type (Dict[str, str]): The mapping of entry id to entry type.
    Returns: List[Dict[str, str]]: The ancestors array.
    """
    ancestors = []
    if child_id in parent_mapping:
        current = parent_mapping[child_id]
        while True:
            current_type = map_entry_id_to_entry_type.get(current, "glossary")
            resource = get_export_resource_by_id(current, current_type)
            glossary_child_entry_name = f"{DATAPLEX_ENTRY_GROUP}/entries/{resource}"
            ancestors.append({
                "name": glossary_child_entry_name,
                "type": get_entry_type_name(current_type)
            })
            if current not in parent_mapping:
                break
            current = parent_mapping[current]
    
    glossary_entry_name = f"{DATAPLEX_ENTRY_GROUP}/entries/projects/{PROJECT}/locations/{LOCATION}/glossaries/{GLOSSARY}"
    ancestors.append({
        "name": glossary_entry_name,
        "type": get_entry_type_name("glossary")
    })
    ancestors.reverse()
    return ancestors