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https://github.com/deepset-ai/haystack.git
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abda994116
* Clear faiss_index during teardown * Marking slow test with pytest markers. So In future these test can be optimized. Also command line option can be added to skip them refer https://pytest.org/en/stable/example/simple.html#control-skipping-of-tests-according-to-command-line-option * Fixing test
48 lines
2.0 KiB
Python
48 lines
2.0 KiB
Python
from haystack import Finder
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import pytest
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@pytest.mark.slow
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@pytest.mark.parametrize("retriever_with_docs", ["tfidf"], indirect=True)
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def test_finder_get_answers(reader, retriever_with_docs, document_store_with_docs):
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finder = Finder(reader, retriever_with_docs)
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prediction = finder.get_answers(question="Who lives in Berlin?", top_k_retriever=10,
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top_k_reader=3)
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assert prediction is not None
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assert prediction["question"] == "Who lives in Berlin?"
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assert prediction["answers"][0]["answer"] == "Carla"
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assert prediction["answers"][0]["probability"] <= 1
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assert prediction["answers"][0]["probability"] >= 0
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assert prediction["answers"][0]["meta"]["meta_field"] == "test1"
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assert prediction["answers"][0]["context"] == "My name is Carla and I live in Berlin"
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assert len(prediction["answers"]) == 3
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@pytest.mark.parametrize("retriever_with_docs", ["tfidf"], indirect=True)
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def test_finder_offsets(reader, retriever_with_docs, document_store_with_docs):
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finder = Finder(reader, retriever_with_docs)
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prediction = finder.get_answers(question="Who lives in Berlin?", top_k_retriever=10,
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top_k_reader=5)
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assert prediction["answers"][0]["offset_start"] == 11
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assert prediction["answers"][0]["offset_end"] == 16
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start = prediction["answers"][0]["offset_start"]
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end = prediction["answers"][0]["offset_end"]
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assert prediction["answers"][0]["context"][start:end] == prediction["answers"][0]["answer"]
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@pytest.mark.slow
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@pytest.mark.parametrize("retriever_with_docs", ["tfidf"], indirect=True)
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def test_finder_get_answers_single_result(reader, retriever_with_docs, document_store_with_docs):
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finder = Finder(reader, retriever_with_docs)
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query = "testing finder"
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prediction = finder.get_answers(question=query, top_k_retriever=1,
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top_k_reader=1)
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assert prediction is not None
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assert len(prediction["answers"]) == 1
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