2021-08-02 14:51:24 +02:00
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from pathlib import Path
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import pytest
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2021-08-31 10:14:55 +02:00
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import ray
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2022-01-26 18:12:55 +01:00
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from haystack.pipelines import RayPipeline
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2022-05-17 10:55:53 +02:00
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from ..conftest import SAMPLES_PATH
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2021-08-02 14:51:24 +02:00
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2022-03-15 11:17:26 +01:00
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@pytest.fixture(autouse=True)
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def shutdown_ray():
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yield
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try:
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import ray
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2022-08-03 12:49:03 -04:00
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ray.serve.shutdown()
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2022-03-15 11:17:26 +01:00
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ray.shutdown()
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except:
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pass
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@pytest.mark.integration
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2021-08-02 14:51:24 +02:00
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@pytest.mark.parametrize("document_store_with_docs", ["elasticsearch"], indirect=True)
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2022-08-03 12:49:03 -04:00
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@pytest.mark.parametrize("serve_detached", [True, False])
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def test_load_pipeline(document_store_with_docs, serve_detached):
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2021-08-02 14:51:24 +02:00
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pipeline = RayPipeline.load_from_yaml(
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2022-05-19 19:40:03 +02:00
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SAMPLES_PATH / "pipeline" / "ray.haystack-pipeline.yml",
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2022-05-04 17:39:06 +02:00
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pipeline_name="ray_query_pipeline",
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ray_args={"num_cpus": 8},
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2022-08-03 12:49:03 -04:00
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serve_args={"detached": serve_detached},
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2021-08-02 14:51:24 +02:00
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)
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2021-09-10 11:41:16 +02:00
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prediction = pipeline.run(query="Who lives in Berlin?", params={"Retriever": {"top_k": 10}, "Reader": {"top_k": 3}})
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2021-08-31 10:14:55 +02:00
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2022-08-03 12:49:03 -04:00
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assert pipeline._serve_controller_client._detached == serve_detached
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2021-08-31 10:14:55 +02:00
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assert ray.serve.get_deployment(name="ESRetriever").num_replicas == 2
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assert ray.serve.get_deployment(name="Reader").num_replicas == 1
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2022-08-03 10:38:22 -04:00
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assert ray.serve.get_deployment(name="ESRetriever").max_concurrent_queries == 17
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assert ray.serve.get_deployment(name="ESRetriever").ray_actor_options["num_cpus"] == 0.5
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2021-08-02 14:51:24 +02:00
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assert prediction["query"] == "Who lives in Berlin?"
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2021-10-13 14:23:23 +02:00
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assert prediction["answers"][0].answer == "Carla"
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