import runtime import model import csv from typing import List, Dict from datetime import datetime import time import dataset_importer def orders_processor(orders: Dict[str, model.Order]) -> List[runtime.RuntimeProduct]: orders_list = list(orders.values()) sorted_orders_list = sorted(orders_list, key=lambda order: order.latest_end_time) products_lines = runtime.RuntimeProductLines() for sorted_order in sorted_orders_list: for item in sorted_order.products: runtime_product = runtime.RuntimeProduct(item["product"], item["amount"]) runtime_product.set_ddl(sorted_order.latest_end_time) products_lines.add_runtime_product(runtime_product) runtime_product = products_lines.pop_runtime_product() produce_tree = [] produce_list = [] while runtime_product is not None: search_semi_products(0, produce_tree, produce_list, runtime_product) runtime_product = products_lines.pop_runtime_product() return produce_list def search_semi_products(floor, produce_tree, produce_list, runtime_product): runtime_semi_products = [] produce_tree.append({"runtime_product": runtime_product, "runtime_semi_products": runtime_semi_products}) # print("F", runtime_product.product.product_id, runtime_product.ddl) if len(runtime_product.product.semi_products) > 0: for item in runtime_product.product.semi_products: runtime_semi_product = runtime.RuntimeProduct(item["semi_product"], item["amount"]) runtime_semi_product.set_ddl(runtime_product.ddl) # print("C", runtime_semi_product.product.product_id, runtime_semi_product.ddl) search_semi_products(floor+1, runtime_semi_products, produce_list, runtime_semi_product) print("L", floor, runtime_product.product.product_id, runtime_product.ddl) produce_list.append(runtime_product) def products_processor(runtime_products: List[runtime.RuntimeProduct]): processes_list: List[runtime.RuntimeProcess] = [] for runtime_product in runtime_products: runtime_process: runtime.RuntimeProcess = \ runtime.RuntimeProcess(runtime_product, runtime_product.product.process) processes_list.append(runtime_process) if __name__ == "__main__": orders, products, processes, resources = dataset_importer.import_dataset() orders_processor(orders)