完善逻辑;
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0d414c0318
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@ -7,12 +7,13 @@ class RuntimeProduct:
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def __init__(self, product, amount):
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self.ddl: datetime = datetime.today()
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self.start: datetime = datetime.today()
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self.product: model.Product = product
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self.amount: int = amount
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def set_ddl(self, ddl: datetime):
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def set_ddl_start(self, ddl: datetime, start: datetime):
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self.ddl = ddl
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pass
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self.start = start
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class ProductLine:
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@ -71,4 +72,5 @@ class RuntimeProcess:
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def __init__(self, runtime_product: RuntimeProduct, process: model.Process):
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self.runtime_product = runtime_product
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self.process = process
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self.start_ddl = self.runtime_product.ddl - timedelta(minutes=process.pdt_time)
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self.ddl = runtime_product.ddl
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self.delay = self.runtime_product.ddl - timedelta(minutes=process.pdt_time)
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@ -15,7 +15,7 @@ def orders_processor(orders: Dict[str, model.Order]) -> List[runtime.RuntimeProd
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for sorted_order in sorted_orders_list:
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for item in sorted_order.products:
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runtime_product = runtime.RuntimeProduct(item["product"], item["amount"])
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runtime_product.set_ddl(sorted_order.latest_end_time)
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runtime_product.set_ddl_start(sorted_order.latest_end_time, sorted_order.earliest_start_time)
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products_lines.add_runtime_product(runtime_product)
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runtime_product = products_lines.pop_runtime_product()
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@ -41,7 +41,7 @@ def search_semi_products(floor, produce_tree, produce_list, runtime_product):
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for item in runtime_product.product.semi_products:
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runtime_semi_product = runtime.RuntimeProduct(item["semi_product"], item["amount"])
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runtime_semi_product.set_ddl(runtime_product.ddl)
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runtime_semi_product.set_ddl_start(runtime_product.ddl, runtime_product.start)
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# print("C", runtime_semi_product.product.product_id, runtime_semi_product.ddl)
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@ -60,7 +60,13 @@ def products_processor(runtime_products: List[runtime.RuntimeProduct]):
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processes_list.append(runtime_process)
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processes_list = sorted(processes_list, key=lambda rt_pcs: (rt_pcs.ddl, rt_pcs.delay))
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for runtime_process in processes_list:
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print(runtime_process.process.pcs_id, runtime_process.delay)
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if __name__ == "__main__":
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orders, products, processes, resources = dataset_importer.import_dataset()
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orders_processor(orders)
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m_orders, m_products, m_processes, m_resources = dataset_importer.import_dataset()
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produce_list = orders_processor(m_orders)
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products_processor(produce_list)
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