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        "author": "Roberto Forlani",
        "author_email": "roberto.forlani@gmail.com",
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        "description": "# PyAsynch\n\nPyAsynch is a package to create distributed Python Services through RabbitMQ.\n\nThe services talk each other through a common RabbitMQ queue and expose the service also as HTTP Tornado Server\n\n## How to use it\n\n```\npip install pyasynch\n```\nor \n```\npip3 install pyasynch\n```\n\nor just clone the git repo.\n\nCreate your custom node\n```\n\nfrom pyasynch.node import Node\n\nclass MyNode(Node):\n\n    def mymethod(self,arg1,arg2,**kwargs):\n        return {'myproperty':'myvalue'}\n\n    def mysecondmethod(self,myproperty,**kwargs):\n        return {}   \n\n```\n\nCreate the configuration file (e.g. myconfig.json)\n\n```\n{\n  \"endpoint\": {\n    \"amqp\": \"amqp://guest:guest@127.0.0.1:5672/pyasynch\",\n    \"id\": \"myendpoint\",\n    \"threaded\": false\n  }\n}\n```\n\nCreate the routing file (e.g. myroutes.json)\n\n```\n{\n \"routes\": {\n    \"pyasynch://myendpoint/mynode/mymethod\" : [\"pyasynch://myendpoint/mynode/mysecondmethod\"],\n}    \n```\n\nCreate the main (e.g. main.py) runner and register the node\n\n```\n# IMPORTS\nfrom pyasynch.environment import Environment\n\nenv = Environment()\nenv.register_node('mynode',MyNode(env.endpoint))\n\ntry:\n    env.run()\nexcept KeyboardInterrupt:\n    env.stop()\n\n```\n\nEverything is ready, now you can run the endpoint service (check if RabbitMQ is running properly)\n\npython3 main.py -c myconfig.json -r myroutes.json -p 8081\n\nYou can replicate nodes and endpoint logic in a scalable way.\n\nYou can then perform JSON get or POST to the endpoint:\nhttp://127.0.0.1:8081/mynode/mymethod\n\n",
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        "summary": "Python asynch distributed and scalable Queue Services",
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