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Edward Oakes
61 lines
1.6 KiB
Python
61 lines
1.6 KiB
Python
"""
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Full example of ray.serve module
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"""
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import time
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import requests
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import ray
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import ray.serve as serve
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from ray.serve.utils import pformat_color_json
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# initialize ray serve system.
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serve.init()
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# a backend can be a function or class.
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# it can be made to be invoked from web as well as python.
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def echo_v1(flask_request, response="hello from python!"):
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if serve.context.web:
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response = flask_request.url
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return response
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serve.create_backend("echo:v1", echo_v1)
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# An endpoint is associated with an HTTP path and traffic to the endpoint
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# will be serviced by the echo:v1 backend.
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serve.create_endpoint("my_endpoint", backend="echo:v1", route="/echo")
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print(requests.get("http://127.0.0.1:8000/echo", timeout=0.5).text)
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# The service will be reachable from http
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print(ray.get(serve.get_handle("my_endpoint").remote(response="hello")))
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# as well as within the ray system.
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# We can also add a new backend and split the traffic.
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def echo_v2(flask_request):
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# magic, only from web.
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return "something new"
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serve.create_backend("echo:v2", echo_v2)
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# The two backend will now split the traffic 50%-50%.
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serve.set_traffic("my_endpoint", {"echo:v1": 0.5, "echo:v2": 0.5})
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# Observe requests are now split between two backends.
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for _ in range(10):
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print(requests.get("http://127.0.0.1:8000/echo").text)
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time.sleep(0.5)
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# You can also change number of replicas for each backend independently.
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serve.update_backend_config("echo:v1", {"num_replicas": 2})
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serve.update_backend_config("echo:v2", {"num_replicas": 2})
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# As well as retrieving relevant system metrics
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print(pformat_color_json(serve.stat()))
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