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	Adds an example of using Kubernetes to build a distributed task queue using Celery along with a RabbitMQ broker and Flower frontend. Resolves: #1788
		
			
				
	
	
		
			14 lines
		
	
	
		
			297 B
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			14 lines
		
	
	
		
			297 B
		
	
	
	
		
			Python
		
	
	
	
	
	
| import os
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| 
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| from celery import Celery
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| 
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| # Get Kubernetes-provided address of the broker service
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| broker_service_host = os.environ.get('RABBITMQ_SERVICE_SERVICE_HOST')
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| 
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| app = Celery('tasks', broker='amqp://guest@%s//' % broker_service_host, backend='amqp')
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| 
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| @app.task
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| def add(x, y):
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|     return x + y
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| 
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