Start RabbitMQ with Docker:
$ docker run --rm -d -p 5672:5672 rabbitmq:3Then, in 3 different shells, run:
$ celery -A receiver worker -Q in -n receiver -l INFO$ celery -A sender worker -Q out -n sender -l INFO$ python sender.py 1 2 3 4
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Simple demo of how separate Celery workers can communicated with each other
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| from celery import Celery | |
| app = Celery(__name__, broker="amqp://localhost") | |
| @app.task | |
| def calculate_result(x, y): | |
| result = x+y | |
| app.send_task( | |
| "sender.print_result", | |
| args=(result,), | |
| queue="out" | |
| ) |
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| import sys | |
| from celery import Celery | |
| app = Celery(__name__, broker="amqp://localhost") | |
| @app.task | |
| def print_result(v): | |
| print(v) | |
| if __name__ == "__main__": | |
| x, y, *_ = sys.argv[1:] | |
| app.send_task( | |
| "receiver.calculate_result", | |
| args=(float(x), float(y)), | |
| queue="in" | |
| ) |
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