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* Ray pipelines now validate * Update Documentation & Code Style * rename Ray pipeline in tests * Add extras:ray to the test pipeline * pylint Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
36 lines
1003 B
Python
36 lines
1003 B
Python
from pathlib import Path
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import pytest
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import ray
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from haystack.pipelines import RayPipeline
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from ..conftest import SAMPLES_PATH
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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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ray.shutdown()
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except:
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pass
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@pytest.mark.integration
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@pytest.mark.parametrize("document_store_with_docs", ["elasticsearch"], indirect=True)
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def test_load_pipeline(document_store_with_docs):
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pipeline = RayPipeline.load_from_yaml(
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SAMPLES_PATH / "pipeline" / "ray.haystack-pipeline.yml",
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pipeline_name="ray_query_pipeline",
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ray_args={"num_cpus": 8},
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)
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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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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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assert prediction["query"] == "Who lives in Berlin?"
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assert prediction["answers"][0].answer == "Carla"
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