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201 lines
6.6 KiB
Python
201 lines
6.6 KiB
Python
import time
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import pytest
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import requests
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from ray.experimental import serve
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from ray.experimental.serve import BackendConfig
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import ray
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def test_e2e(serve_instance):
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serve.init() # so we have access to global state
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serve.create_endpoint("endpoint", "/api", blocking=True)
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result = serve.api._get_global_state().route_table.list_service()
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assert result["/api"] == "endpoint"
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retry_count = 5
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timeout_sleep = 0.5
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while True:
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try:
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resp = requests.get("http://127.0.0.1:8000/", timeout=0.5).json()
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assert resp == result
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break
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except Exception:
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time.sleep(timeout_sleep)
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timeout_sleep *= 2
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retry_count -= 1
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if retry_count == 0:
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assert False, "Route table hasn't been updated after 3 tries."
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def function(flask_request):
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return "OK"
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serve.create_backend(function, "echo:v1")
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serve.link("endpoint", "echo:v1")
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resp = requests.get("http://127.0.0.1:8000/api").json()["result"]
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assert resp == "OK"
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def test_scaling_replicas(serve_instance):
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class Counter:
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def __init__(self):
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self.count = 0
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def __call__(self, _):
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self.count += 1
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return self.count
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serve.create_endpoint("counter", "/increment")
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# Keep checking the routing table until /increment is populated
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while "/increment" not in requests.get("http://127.0.0.1:8000/").json():
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time.sleep(0.2)
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b_config = BackendConfig(num_replicas=2)
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serve.create_backend(Counter, "counter:v1", backend_config=b_config)
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serve.link("counter", "counter:v1")
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counter_result = []
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for _ in range(10):
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resp = requests.get("http://127.0.0.1:8000/increment").json()["result"]
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counter_result.append(resp)
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# If the load is shared among two replicas. The max result cannot be 10.
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assert max(counter_result) < 10
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b_config = serve.get_backend_config("counter:v1")
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b_config.num_replicas = 1
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serve.set_backend_config("counter:v1", b_config)
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counter_result = []
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for _ in range(10):
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resp = requests.get("http://127.0.0.1:8000/increment").json()["result"]
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counter_result.append(resp)
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# Give some time for a replica to spin down. But majority of the request
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# should be served by the only remaining replica.
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assert max(counter_result) - min(counter_result) > 6
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def test_batching(serve_instance):
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class BatchingExample:
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def __init__(self):
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self.count = 0
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@serve.accept_batch
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def __call__(self, flask_request, temp=None):
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self.count += 1
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batch_size = serve.context.batch_size
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return [self.count] * batch_size
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serve.create_endpoint("counter1", "/increment")
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# Keep checking the routing table until /increment is populated
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while "/increment" not in requests.get("http://127.0.0.1:8000/").json():
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time.sleep(0.2)
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# set the max batch size
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b_config = BackendConfig(max_batch_size=5)
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serve.create_backend(
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BatchingExample, "counter:v11", backend_config=b_config)
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serve.link("counter1", "counter:v11")
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future_list = []
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handle = serve.get_handle("counter1")
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for _ in range(20):
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f = handle.remote(temp=1)
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future_list.append(f)
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counter_result = ray.get(future_list)
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# since count is only updated per batch of queries
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# If there atleast one __call__ fn call with batch size greater than 1
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# counter result will always be less than 20
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assert max(counter_result) < 20
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def test_batching_exception(serve_instance):
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class NoListReturned:
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def __init__(self):
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self.count = 0
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@serve.accept_batch
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def __call__(self, flask_request, temp=None):
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batch_size = serve.context.batch_size
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return batch_size
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serve.create_endpoint("exception-test", "/noListReturned")
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# set the max batch size
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b_config = BackendConfig(max_batch_size=5)
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serve.create_backend(
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NoListReturned, "exception:v1", backend_config=b_config)
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serve.link("exception-test", "exception:v1")
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handle = serve.get_handle("exception-test")
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with pytest.raises(ray.exceptions.RayTaskError):
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assert ray.get(handle.remote(temp=1))
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def test_killing_replicas(serve_instance):
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class Simple:
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def __init__(self):
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self.count = 0
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def __call__(self, flask_request, temp=None):
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return temp
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serve.create_endpoint("simple", "/simple")
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b_config = BackendConfig(num_replicas=3, num_cpus=2)
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serve.create_backend(Simple, "simple:v1", backend_config=b_config)
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global_state = serve.api._get_global_state()
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old_replica_tag_list = global_state.backend_table.list_replicas(
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"simple:v1")
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bnew_config = serve.get_backend_config("simple:v1")
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# change the config
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bnew_config.num_cpus = 1
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# set the config
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serve.set_backend_config("simple:v1", bnew_config)
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new_replica_tag_list = global_state.backend_table.list_replicas(
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"simple:v1")
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global_state.refresh_actor_handle_cache()
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new_all_tag_list = list(global_state.actor_handle_cache.keys())
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# the new_replica_tag_list must be subset of all_tag_list
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assert set(new_replica_tag_list) <= set(new_all_tag_list)
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# the old_replica_tag_list must not be subset of all_tag_list
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assert not set(old_replica_tag_list) <= set(new_all_tag_list)
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def test_not_killing_replicas(serve_instance):
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class BatchSimple:
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def __init__(self):
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self.count = 0
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@serve.accept_batch
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def __call__(self, flask_request, temp=None):
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batch_size = serve.context.batch_size
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return [1] * batch_size
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serve.create_endpoint("bsimple", "/bsimple")
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b_config = BackendConfig(num_replicas=3, max_batch_size=2)
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serve.create_backend(BatchSimple, "bsimple:v1", backend_config=b_config)
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global_state = serve.api._get_global_state()
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old_replica_tag_list = global_state.backend_table.list_replicas(
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"bsimple:v1")
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bnew_config = serve.get_backend_config("bsimple:v1")
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# change the config
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bnew_config.max_batch_size = 5
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# set the config
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serve.set_backend_config("bsimple:v1", bnew_config)
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new_replica_tag_list = global_state.backend_table.list_replicas(
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"bsimple:v1")
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global_state.refresh_actor_handle_cache()
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new_all_tag_list = list(global_state.actor_handle_cache.keys())
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# the old and new replica tag list should be identical
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# and should be subset of all_tag_list
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assert set(old_replica_tag_list) <= set(new_all_tag_list)
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assert set(old_replica_tag_list) == set(new_replica_tag_list)
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