Source code for batching.clark_and_wright_nn

from ware_ops_algos.algorithms import ClarkAndWrightBatching, NearestNeighbourhoodRouting
from ware_ops_algos.domain_models import Resources, LayoutData, Articles
from ware_ops_pipes.pipelines.templates.template_1 import BatchedPickListGeneration
from ware_ops_pipes.utils.io_helpers import load_pickle




class ClarkAndWrightNN(BatchedPickListGeneration):


    abstract = False




    def get_inited_batcher(self):
        articles: Articles = load_pickle(self.input()["instance"]["articles"].path)
        resources: Resources = load_pickle(self.input()["instance"]["resources"].path)
        layout: LayoutData = load_pickle(self.input()["instance"]["layout"].path)
        layout_network = layout.layout_network
        routing_kwargs = {"start_node": layout_network.start_node,
                         "end_node": layout_network.end_node,
                         "closest_node_to_start": layout_network.closest_node_to_start,
                         "min_aisle_position": layout_network.min_aisle_position,
                         "max_aisle_position": layout_network.max_aisle_position,
                         "distance_matrix": layout_network.distance_matrix,
                         "predecessor_matrix": layout_network.predecessor_matrix,
                         "picker": resources.resources,
                         "gen_tour": False,
                         "gen_item_sequence": False,
                         }

        batcher = ClarkAndWrightBatching(
            pick_cart=resources.resources[0].pick_cart,
            articles=articles,
            routing_class=NearestNeighbourhoodRouting,
            routing_class_kwargs=routing_kwargs,
            time_limit=240
        )
        return batcher