python生成车间调度代码

你可以使用Python编写车间调度代码。在车间调度中，你需要考虑任务的优先级、资源的可用性和工作站的状态等因素。

以下是一个简单的示例，展示了如何使用Python生成车间调度代码：

class Task:
    def __init__(self, name, priority, resource):
        self.name = name
        self.priority = priority
        self.resource = resource

class Workstation:
    def __init__(self, name):
        self.name = name
        self.tasks = []

    def add_task(self, task):
        self.tasks.append(task)

class Workshop:
    def __init__(self):
        self.workstations = []

    def add_workstation(self, workstation):
        self.workstations.append(workstation)

    def schedule_tasks(self):
        sorted_tasks = sorted(self.get_all_tasks(), key=lambda x: x.priority)
        for task in sorted_tasks:
            workstation = self.get_available_workstation(task.resource)
            if workstation is not None:
                workstation.add_task(task)

    def get_all_tasks(self):
        all_tasks = []
        for workstation in self.workstations:
            all_tasks.extend(workstation.tasks)
        return all_tasks

    def get_available_workstation(self, resource):
        for workstation in self.workstations:
            if resource in workstation.tasks:
                return None  # Resource already being used in this workstation
        for workstation in self.workstations:
            if len(workstation.tasks) == 0:
                return workstation
        return None  # No available workstation

# 创建工作站
workstation1 = Workstation("Workstation 1")
workstation2 = Workstation("Workstation 2")

# 创建任务
task1 = Task("Task 1", 1, "resource A")
task2 = Task("Task 2", 2, "resource B")
task3 = Task("Task 3", 3, "resource A")
task4 = Task("Task 4", 1, "resource C")

# 添加任务到工作站
workstation1.add_task(task1)
workstation1.add_task(task2)
workstation2.add_task(task3)
workstation2.add_task(task4)

# 创建车间
workshop = Workshop()
workshop.add_workstation(workstation1)
workshop.add_workstation(workstation2)

# 调度任务
workshop.schedule_tasks()

上述代码创建了一个简单的车间调度系统，包括工作站、任务和车间。你可以根据自己的需求扩展和修改代码，以适应具体的车间调度场景。