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Lightweight library for AWS SWF.

Garcon deals with easy going clients and kitchens. It takes ordersfrom clients (deciders), and send them to the kitchen (activities).Difficult clients and kitchens can be handled directly by therestaurant manager.

• Python 3.8, 3.9, 3.10, 3.11, 3.12 (tested)
• Boto3 (tested)

The goal of this library is to allow the creation of Amazon SimpleWorkflow without the need to worry about the orchestration of thedifferent activities and building out the different workers. Thisframework aims to help simple workflows. If you have a more complexcase, you might want to use directly boto3.

The code sample shows a workflow where a user enters a coffee shop, ordersa coffee and a chocolate chip cookie. All ordered items are prepared andcompleted, the user pays the order, receives the ordered items, then leavethe shop.

The code below represents the workflow decider. For the full code sample,see theexample.

enter=schedule('enter',self.create_enter_coffee_activity)enter.wait()total=0foritemin ['coffee','chocolate_chip_cookie']:activity_name='order_{item}'.format(item=item)activity=schedule(activity_name,self.create_order_activity,input={'item':item})total+=activity.result.get('price')pay_activity=schedule('pay',self.create_payment_activity,input={'total':total})get_order=schedule('get_order',self.create_get_order_activity)# Waiting for paying and getting the order to complete before# we let the user leave the coffee shop.pay_activity.wait(),get_order.wait()schedule('leave_coffee_shop',self.create_leave_coffee_shop)

.├── cli.py # Instantiate the workers├── flows # All your application flows.│   ├── __init__.py│   └── example.py # Should contain a structure similar to the code sample.├── tasks # All your tasks│   ├── __init__.py│   └── s3.py # Task that focuses on s3 files.└── task_example.py # Your different tasks.

• Michael Ortali (Author)
• Adam Griffiths
• Raphael Antonmattei
• John Penner