def transform_gcp_instances()

in cartography/intel/gcp/compute.py [0:0]

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

def transform_gcp_instances(response_objects):
    """
    Process the GCP instance response objects and return a flattened list of GCP instances with all the necessary fields
    we need to load it into Neo4j
    :param response_objects: The return data from get_gcp_instance_responses()
    :return: A list of GCP instances
    """
    instance_list = []
    for res in response_objects:
        prefix = res['id']
        prefix_fields = _parse_instance_uri_prefix(prefix)

        for instance in res.get('items', []):
            instance['partial_uri'] = f"{prefix}/{instance['name']}"
            instance['project_id'] = prefix_fields.project_id
            instance['zone_name'] = prefix_fields.zone_name

            for nic in instance.get('networkInterfaces', []):
                nic['subnet_partial_uri'] = _parse_compute_full_uri_to_partial_uri(nic['subnetwork'])
                nic['vpc_partial_uri'] = _parse_compute_full_uri_to_partial_uri(nic['network'])

            instance_list.append(instance)
    return instance_list