mirror of
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
35 lines
2.0 KiB
Python
35 lines
2.0 KiB
Python
import pytest
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from haystack import Finder
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@pytest.mark.slow
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@pytest.mark.parametrize("document_store", ["elasticsearch", "faiss", "memory"], indirect=True)
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@pytest.mark.parametrize("retriever", ["embedding"], indirect=True)
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def test_embedding_retriever(retriever, document_store):
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documents = [
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{'text': 'By running tox in the command line!', 'meta': {'name': 'How to test this library?', 'question': 'How to test this library?'}},
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{'text': 'By running tox in the command line!', 'meta': {'name': 'blah blah blah', 'question': 'blah blah blah'}},
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{'text': 'By running tox in the command line!', 'meta': {'name': 'blah blah blah', 'question': 'blah blah blah'}},
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{'text': 'By running tox in the command line!', 'meta': {'name': 'blah blah blah', 'question': 'blah blah blah'}},
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{'text': 'By running tox in the command line!', 'meta': {'name': 'blah blah blah', 'question': 'blah blah blah'}},
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{'text': 'By running tox in the command line!', 'meta': {'name': 'blah blah blah', 'question': 'blah blah blah'}},
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{'text': 'By running tox in the command line!', 'meta': {'name': 'blah blah blah', 'question': 'blah blah blah'}},
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{'text': 'By running tox in the command line!', 'meta': {'name': 'blah blah blah', 'question': 'blah blah blah'}},
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{'text': 'By running tox in the command line!', 'meta': {'name': 'blah blah blah', 'question': 'blah blah blah'}},
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{'text': 'By running tox in the command line!', 'meta': {'name': 'blah blah blah', 'question': 'blah blah blah'}},
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{'text': 'By running tox in the command line!', 'meta': {'name': 'blah blah blah', 'question': 'blah blah blah'}},
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]
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embedded = []
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for doc in documents:
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doc['embedding'] = retriever.embed([doc['meta']['question']])[0]
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embedded.append(doc)
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document_store.write_documents(embedded)
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finder = Finder(reader=None, retriever=retriever)
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prediction = finder.get_answers_via_similar_questions(question="How to test this?", top_k_retriever=1)
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assert len(prediction.get('answers', [])) == 1
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